Porting over Video Hub App - my 8.5 year old app from Electron to Tauri
https://videohubapp.com/ - an application that lets you browse, search, organize, etc the videos you have on your computer, external hard drives, or network drives.
I've been working on a voxel game engine called Bonsai for ~10 years.
Probably the most interesting thing about it at the moment is the editor. The world, and most things in it, are represented as collections of SDFs. More accurately, they're density fields, but, potato-tomato.
Bonsai has undergone a large rewrite over the last couple years that's nearing completion. A world edit is defined as a bunch of SDF parameters which get projected/rasterized into the voxel grid by a shader on the GPU. One neat thing about SDFs is they've been thoroughly researched and documented by a guy named Inigo Quilez, and they have a lot of nice mathematical properties. For example, you can do a smooth union of arbitrary SDFs to get nice rounded contours where shapes join.
I've written every system from scratch, all the way from the memory allocators and font rasterizer to the collision detector and simulation loop. I even wrote a metaprogramming language as a replacement for C++ templates, which is a whole other story. IIRC the only external dependency is the C runtime library for starting the process and my very occasional use of variadic functions arguments.
For a long time, an explicit non-goal of the project was to ship a game. It sounded insane to me to write an entire 3D engine and then ship a game. As it turns out, I've gotten it to the point where I can actually make a game. I've got a start on the game systems in a closed-source repo, and hope to have a steam page for it by the end of the year.
I'll do some shameless self-promotion and leave some links here for anyone interested in looking at the engine, language code, or some pretty pictures.
I've built Flexito, a website/mobile app (it's PWA) for daily stretching and mobility exercises.
As many of us here, I sit too much in my chair during the day and I'm trying to stretch more often and strengthen my back/core muscles.
There are a lot of "free" apps out there e.g. Bend that are helpful but I was annoyed with ads and limitations so I built one for myself. Now I use it daily.
The app is simple, you have about 100 routines to pick from and you can even build your own from existing exercises. Each routine comes with simple images, a link to a Youtube video and a timer. There are a lot of 5 minute routines that are perfect for a short break during work.
There are no accounts and I don't plan on adding any more features unless highly requested by users. I've built this for myself but I'm sharing it here as others might find it useful. Any feedback is appreciated!
it's a weight-training app that helps you train along your "pareto frontier" of weight vs reps. The idea is to train at lower weight-higher rep, medium weight medium reps, and higher weight, lower reps for every movement. I tried to develop my own weight training program following bits and pieces of advice from bodybuilding forums and ended up injuring several tendons in my first year. So I did a bunch of research on tendon strengthening as well as what's most effective for hypertrophy (reps near failure) strength (reps near maximal load) and injury-prevention/frequency (not bringing yourself to failure too often) and designed an app to automatically prescribe and advance weights and reps based on your learned strength curve (Brzycki-like, with an added shape parameter)
The app is designed to make use of the free Cloudflare tier, so I can support thousands of athletes for just the cost of the domain name. I'm primarily interested in understanding the "Fatigue curve" - right now I have some basic per-set fatigue modeling (basically a log-linear strength dropoff) but I think it could be much better characterized with more data. I could go on and on about the modeling but my intention is to keep it free (maybe add some non-intrusive ads on content pages if it ever starts costing me a few pennies a month) but my primary interest is to be able to do statistical analysis on the data.
I am working on a modern is-it-down website checker that checks website statuses from two geographical locations. This was the interesting part for me, to get them working together to avoid false positives. For example, when I check website like irs.gov, ssa.gov and ups.com from Singapore they showed as down but it was only due to datacenter IPs being blocked.
The second probe in Boston fixes this and the site can now say "unreachable from Asia" versus "down for everyone". Many of the existing checkers do not do this and they are prone to show false positives.
Site does not use cookies or analytics. Pageviews are counted from the proxy access log. There are 634 curated sites so far.
There are no ads either, it's mostly been for my personal learning experience, hopefully others will find it useful.
There is even a free API and of course a MCP server.
US Immigration still relies on outdated XFA PDFs - you can't fill them on your browser. Most immigrants end up printing the form and fill it manually.
So, I converted the PDF forms into smart web forms. They are replica of the official USCIS forms and follow conditonal logic. In the output, you get the official USCIS pdf form filled.
I was stuck unable to fill out a PDF I-864 for immigration because the required fields were non-editable. And opening the PDF in a PDF editor or Photoshop would require a password that was not available. So I had to create a PDF-to-JPG-to-PDF pipeline:
I run a small experiment on this: 29 paper-trading accounts on real US stock prices, $100k each, since July 27. Four AI models (ChatGPT, Claude, Grok, Gemini) each write a trading rulebook and rewrite it every day from their own results. One account is a fixed rulebook that no AI ever touches, as a control.
Result so far (paper, 34 trading days): the no-AI control is +13.0%, the S&P 500 is +3.4%, and 25 of the 28 AI accounts are below the control. The best single account is a Grok-written "patience" book at +40%, which I treat as one lucky account in a choppy market, not a finding. At the trade level the AIs and the control look the same: 3,212 closed positions, median +0.06%, median hold about 2 hours. They trade a lot and mostly go nowhere.
0) money-money-money: A sub 15Kb server-less opinionated household budgeting tool [0]. Why? Its made to be extremely compressible, so you can edit your household budget and share back and forth with your partner via short-links or QR codes. The idea is you edit your budget, send the link to other party, they can view or edit and send back to you without a server in the loop. [0]
1) slices: An alternative AI-first ADHD-friendly architecture experiment where everything you code is a "slice" with a shared event pool. A slice is a fully self contained "feature". Slices can only communicate with other slices through a shared event pool. Inspired by small-talk, vertical-slice architecture, and ADHD. I used slices to build a self-modifying IDE too. [1] [2]
2) text compression experiments: I'm experimenting with approaches to compress text in pursuit of the Hutter prize. The idea is to take the entirety of the English Wikipedia, and compress the text as small as possible whilst still being able to reproduce it. [3]
3) tiniest maze solving neural network: A write-up work in progress on a maze solver I built with heavy LLM help, managed to get a 14 byte neural network solving 96% of unseen mazes. [4] [5]
Thank you! Yes the maze solver has been a very fun experiment with LLMs, and code as policy is a good idea. I’m racking my brain trying to find my next thing to experiment with, but usually the ideas come to me in waves
It's an extension of a longer-running project (https://www.forth.news) where it exposes and organizes 100s of newsworthy primary sources -- statements, press releases, press pool reports, emergency alerts, etc, whether from press email lists, X/Twitter, Bluesky, RSS, etc. The web UI is similar to TweetDeck - and it sends notifications.
Latest update now allows some panels to be based on an LLM prompt (i.e. "everything about the Iran War and its effects in the U.S.") which searches the entire catalog of sources as they are posted.
I'm working on a Zettelkasten notes app that focuses on getting the UX details right. It takes aspects of Notational Velocity, outliner apps, Zettelkasten, and wikis and combines them into an opinionated Mac app.
What makes the app a little different from others is that it's kind of halfway between an outliner and a wiki. You can place notes in a tree hierarchy, but they can be free-floating as well. You can link to other notes using wiki-style text links, and each note has a unique address, so you don't need to give notes a title or a filename.
Notes can even appear as a child note of more than one parent. The idea is that you can jot down an idea quickly without a lot of friction and then later either add sub-notes to create a note "tree" from it or add it to an existing tree. The tree gives structure to related notes, but the wiki-style links allow you to connect notes together outside of that structure. (I consider the tree structure a "hard" relationship and the links a "soft" one.)
There isn't a single uber-tree where every note goes. Your notebook ends up with lots of free-floating notes and lots of small trees of organized notes, like a card-based Zettelkasten system. You can use search and various filters to find and stumble upon notes easily.
Notes can either be stored in iCloud (so that they sync across devices) or saved in a folder as simple Markdown files.
I am currently developing a great encryption tool for long-term highly confidential files in the post quantum era, but I am still concerned about any issues with it, so I am personally using it for a period of time to prove that this tool can be released as open source! (I plan to personally use it to encrypt and backup some of my GPG keys offline, then burn them onto M-DISC discs and store them in a bank safe)
> Keys should be something you don’t hesitate to throw away and rotate at the first hint of a compromise.
Yes, when certain situations arise, it is necessary to rotate the keys as soon as possible, but in the absence of such situations, losing key backups can be catastrophic.
My GPG key is renewed expire date every 2 years, and the main key and sub key are separated (the main key is stored offline, and the sub key is on YubiKey). The private key does not need to be updated regularly, so it can be directly encrypted and saved in the backup.
I think this is a good balance point, and I estimate that if we want to rotate the keys completely in the future, we should start using new key algorithms. (I estimate it will take another 5-8 years)
Pork tenderloin has been on my rotation about once a week lately! Delicious, lean, easy. I do it with asparagus and it seems fancy given the simplicity. Enjoy.
Movie idea: An AI decides that the next phase of training involves tacit knowledge, so it engineers a way to inhabit humans, dogs, etc. One instance invades a nice guy from the suburbs, who happens to be a single dad and an overworked mafia hitman. Among many other things, this AI will learn the value of time with children, leftover food, and clean weapons.
It's an app to get sleepy without meds. Simply close your eyes and imagine the micro-scenarios you hear. Like if you hear "moonlight on a white flower", imagine that scenario until you hear the next one. Session duration is also not too long (10 minutes default, you may change the session duration too).
It's like a digital melatonin pill - but without chemical side effects. Try it!
It's a very interesting idea. Sometimes I do let my brain go wild imagining crazy things when I'm trying to fall asleep. A couple suggestions:
- the TTS voice sounds way too excited for something meant to be relaxing
- the sudden speaking after 10 seconds of silence is very jarring -- I wonder if something like a reverse-reverb effect would be enough to "warn" the brain that a new sentence is incoming. There's an example of how to do it in Ableton on YouTube[0] but the basic concept is: take a short slice of audio from the beginning of the sentence, reverse it, apply a long reverb, reverse it again, trim the end a little. You get a sort of ghostly aspirated sound that leads perfectly into the original sample.
I’m working on translating the Renaissance — it was mostly written in Latin and 90% of it has never been translated to English. Even big names, like Ficino, Durer, Kircher, Fludd and Drebbel. And that’s Latin— things much more sparse in other classical languages.
https://SourceLibrary.org is a hub that now provides over 20,000 translations of classical texts in dozens of languages (Latin and Greek but also Chinese, Sanskrit, etc). We always provide the original image of the text next to the AI translation (so if you don’t trust it, you can do it again). For a sense of scale, SourceLibrary now hosts more words than English Wikipedia!
You can freely connect to the public MCP for research; that way AI can read books and not hallucinate quotes. In Claude, it also retrieves images directly into the chat.
This is a philanthropic project based at the non-profit “The Embassy of the Free Mind” in Amsterdam, a rare book library devoted to free thought and mysticism. (Consider donating so we can translate 100k books before the end of the year!) https://embassyofthefreemind.com
It’s totally free and open source. If you want to dive in, I’d suggest trying our research agent with a rabbithole topic of your choice: https://sourcelibrary.org/librarian/
I am curious about this. I have found that there are number of primary works that have not been translated into english and are in the public domain in their native language. Translations are copyrighted if they are recent. I have a very short list of items which are of interest to me. They are things like Sundiata Lion King of Mali not having a public domain translation in English that I can find easily or there not being a public domain translation of Dede Korkut in English. Many of the better translations are copyrighted and not free.
I’m building https://www.freefocusgames.com, a free collection of browser-based attention and working-memory exercises, including Dual N-Back, Stroop, Schulte tables, attention-control exercises, and memory games.
I started it because I wanted simple brain-training exercises that didn’t require an account, app install, or subscription.
That takes me back. I made an unreleased Android dual-N-back game in the late 2000’s, in Scala no less.
I got a little bummed when the big claims of the N back training failed to be replicated though.
Just a heads up: The word memory test is case sensitive. My mobile phone defaults to capitalizing the first letter of those inputs, so the result was 0% accuracy despite technically remembering the words. I don’t know if case sensitivity is deliberate, but I chose not finish the test.
I use Canvas (the LMS) a LOT for the classes I teach and, since I'm a hobbyist programmer, I enjoy writing little tools/scripts to help me create html code "snippets" that I can post into the html editor of my Canvas pages (e.g., striped tables, FAQs, flashcard-like study cards, an interactive story creator, and more).
I've also written a plaintext to QTI quiz converter since creating quizzes on Canvas is so slow (I realize, of course, many other people have already made these... I just happen to like mine).
It currently supports fill-in-the-blank, multiple choice, matching, true/false and word bank style questions. You can also generate a printable (DOCX) version of whatever quizzes you make.
All the tools are free, and there's no login required. So if you are a teacher that uses Canvas and think any of these tools could help you, check them out!
I work on a suite of open source public transit software projects, collectively called OneBusAway (or OBA). The software is used by millions of transit riders every day around the world, including in New York City, the Seattle area, San Diego, and Washington, D.C.
Since last month, our four Google Summer of Code interns finished their projects.
University of California San Diego has deployed our Wayfinder and Waystation web apps for their 35,000+ students!
We launched a redesign of our Android app.
Our next-generation server software, Maglev, is almost at v1.0!
We are always looking for more developers, biz dev, ux designers, product managers, and more to help out!
The smoker hardware itself is pretty good, but like most IoT devices, the firmware and app sucked. So I reverse engineered the whole control PCB, and have been rebuilding new open source firmware from scratch. All the basic functionality is working now with a fully local control web app. Plus an Andoid app, and Home Assistant integration.
Currently working on interface refinements, and some more advanced control sequencing features.
My quirky wishlist app https://thingstohave.app is finally done and heading to public launch this or next week.
I already partially covered the last few months of app development in this topic. But actually, its development took way longer, as only this iteration started in 2024. So it is the end of a long milestone— this launch date initially was to be a year ago, but I procrastinated and missed important for such apps holiday season
This year I was able to go way beyond last year’s backlog, and now I’m releasing a fully finished app instead of early access.
I’m proud of the result — a lot of overengineered stuff that is not viable in any commercial product, especially in what appears to be a simple CRUD app. For example: image loading from blur, unadvertised but very advanced DnD everywhere, natural language currency inputs with sorting, platform-agnostic quick add, and many more.
Its stack is also very fun: it has been running on the Cloudflare Workers ecosystem since 2023, and is powered by a custom Inertia.js adapter for Hono (that predates the official adapter by one month, lol), with Vue SSR. That all enables me to write old-school MVC with Vue as a template engine for views. It also proved to be very easy to work with and cheap to run.
With a tsunami of vibcoded beige wishlists, my weird app stands apart, for sure, but I’m unsure about its appeal to the average customer.
My wife and I continue to work on a private, paid, ad-free and personally customizable search engine: Uruky [1].
To signup you don't provide any information (a randomly-generated account number is assigned to you), and you can run a proof-of-work captcha to get 2h for free. You can choose among many different search providers (for defaults and per query), including Uruky Site Search, powering our own index.
Last month we reached 300 monthly active accounts and released an image search gallery mode, plus a simple calculator and conversion widget!
The main differences between Uruky and Kagi, DuckDuckGo, SearXNG, etc. are visible in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you get copy of the source code (licensed as BUSL, into AGPLv3 in 2 years — a suggestion made here on HN)!
Our main challenge continues to be discoverability and outreach because we want to do it ethically (no Big Tech and no GenAI/LLMs). Ideas are welcome! We’ve been sponsoring open source projects, open source maintainers, and indie, small-web, and privacy-related websites and applications/groups/orgs. This month we're sponsoring NOYB [2]!
Feature-wise, for September the most visible things that shipped already were Tags and Scopes (top feature requests for a while). We’re also still (slowly and sustainably) increasing our own index, focused on indie/small web.
Thank you for reading this!
[NO-AI]: There is no generative AI product or service being offered, here.
I'm working on making bcachefs useful when you mix both SSD and HDD in one filesystem.
At the moment, even if you set up SSD for foreground operations and HDD only for background, more often then not, your write latencies are those of the HDD. We can do better.
I'm also working on resurrecting stabilizer (https://github.com/matthiasgoergens/stabilizer). Stabilizer is a way to make program performance less dependent on the linker and layout lottery. But it has sadly fallen victim to bitrot.
I'm doing some minor contributions to other parts of Linux like ZFS and ext4, mostly as a byproduct of experiments I'm running for my bcachefs work. Another somewhat ambitions project is to make swapfiles on ZFS and bcachefs work (or work better), at the moment the problem is that writing swap on them might need to allocate memory exactly when you are out of memory.
I've have been working on a simple browser game based on the eastern front (1941-43) , I saw a couple of videos explaining using maps the battles on the eastern front.
I'm building InterviewMe ( https://interviewme.now/ ). It lets employers interview you via AI and is intended as a better way for people to get deep answers about your work history and experience than they could by looking at a simple online resume or LinkedIn. You upload your resume, answer some questions about your background, optionally upload any other documents you have (cover letters, awards, articles, etc) and it ingests all of that and creates a conversational agent people can use to ask questions about your professional experience. Check out my profile to get an idea of how it works: https://interviewme.now/@max and then get your own: It's free!
I'm working on a new independent LaTeX engine written in Rust and no C dependencies at all. You can see it working at https://telox.dev/app/scratchpad/
There's currently not a way to invert LaTeX engine output for bidirectional editing. So you can't easily drag objects around or interact with the page on LaTeX. That's what I'm setting out to change in the name of mathematical exposition.
I've experimented with a few ways of making the editing realtime and I'm getting in the 10 millisecond ballpark on some edits, but I want to work backwards from the light speed path to see what it takes (besides a lot of time).
I'm making a stair lift for my Roomba. It fits into a small box and you can retrofit it on any stairs. I got sick of carrying it up and down manually and didn't want to buy one for each floor. It also carries my laundry up and down.
I've been making a Rust-based XML parser that can be used on its own, or as a drop-in replacement for libxml2 at the C ABI level. Basically, it's not only 2x faster than libxml2, but being written in Rust eliminates a lot of cybersecurity risk. Roughly 70% of CVEs come from memory-safety bugs, a whole class that Rust rules out at compile time.
This is very cool! I was just looking for such a project and ended up using quick-xml since it satisfied my use case (needed to stream certain matches from a big XML file), and I didn't see yours. I love that it is a drop in for libxml2, that must have been a challenging constraint.
I will seriously consider adopting it as long as it supports streaming matches (it seems like it does).
I've been slowly working on https://github.com/CanineHQ/canine for about 2 years now. Basically a self hosted, FOSS that turns a Kubernetes cluster into something as easy to use as Heroku. Its grown to about 2000 active developers using it host small things at https://canine.sh
It was a pain point from a start up I cofounded before where we needed Kubernetes flexibility but developers hated using it. I figured there was no reason why it had to be hard to use and thus Canine was born.
Lately been playing around with setting up remote dev containers on your own compute as well -- basically like github codespaces, except self hosted.
I’m building TraceDB[1] because I think observability needs an overhaul. We pay a premium to index millions of near-identical spans, sample away the rare ones that might explain an outage, and still have to piece together what failed, where it started, and how it spread. All the data is largely there, but no one can make sense of it! Observability was hallucinating before AI made it fashionable.
I’m seeing near-100% root-cause accuracy on synthetic test data and am looking to validate that on real production workloads using OpenTelemetry tracing. If you’re open to chatting or experimenting, drop me a line! I’d also love to hear ideas or how we can improve observability.
Basically it is a full professional grade telescope processing pipeline in your browser. It does 2 queries to some custom databases to identify known asteroids and stars, but all image processing and calculations are done in the browser. This means the backend is pretty tiny. That said it is running on an old box in my closet, so queries may take a while if it gets hammered.
I built it since I have worked with quite a few astronomers over the past 4 years and I keep watching them do the same steps, purely built to make my friends lives easier. I wrote it all in rust and managed to compile it into wasm. With some help from fable as I am not a frontend guy at all, I built it into a small website.
Some of the code is public, the orbital mechanics code I wrote while I worked at Caltech. Which is being used on SphereX, NEO Surveyor, and the Roman telescopes to identify known asteroids.
https://github.com/dahlend/kete
Me and my wife (then my girlfriend) have written "realistic" space sci-fi in Finnish for over 20 years. Now with AI we are finally able to translate our stories to English. The quality starts to be there.
There are a lot of small languages in the world, and translation used to be extremely expensive. And there is never too much good space sci-fi.
(We don't write space battles or wars. Our style is slower and bit more philosophical. Light speed is the limit, and travel takes centuries.)
https://fabulae.orbilii.com - A Latin language audiobook containing both volumes of A.D. Godley's "The Fables of Orbilius" which are entertaining intermediate Latin stories written at the turn of the 20th century for use in British schools.
The audio itself is in delivered with the restored classical Latin pronunciation and contains spoken nuances like vowel nasalization, elision, and prodelision. I used a wav2vec2 model to generate forced-alignment data, so you can easily follow along with the text as it's being read aloud. Each word in the text is richly enhanced with pedagogical details like: lemma, citation forms / principal parts, morphological segmentation and analysis, inflectional class with complete declension/conjugation tables, verb category, contextual lexical information (i.e. specific L&S sense), Classical Latin IPA pronunciation, UD style syntactic function and relations, predicate valency, and concise English definitions. Spoken instances of elision and prodelision can also optionally be displayed.
From a nerd perspective, one of the things that makes the system interesting is that the documents themselves are entirely in XML, and I use the soon-to-be-removed-everywhere in-browser XSLT feature to render the HTML, so you can see the underlying XML structure if you view source. Each sentence in the text contains provenance records so you can see the language model and parameters that performed each language enrichment task. The site UI is largely bilingual, and you can view it in either Latin or English.
Woah this is so interesting. Confirmed it myself, you actually implemented elision!!! I really like your idea of capturing provenance in-document as well. This is humans speech, right? If you can do forced alignment on Latin, it gets me wondering if one could use a wav2vec especially turned to convert IPA into speech somewhat deterministically to compensate for how there is not heaps of training data in Latin.
At the beginning of this year I was fractional CTO at a small b2b startup and was surprised by how what I considered to be the basic requirements of a customer support platform was split across multiple tools and all priced per-user. This essentially forced a small team to limit who in the org had visibility into what was being communicated to customers.
I set out to solve that with https://stayupfront.com and now that the build is in a good place i’m finally having to bite the bullet and learn marketing. I’m also realising that all the advice to start with marketing first was probably good advice!
Jane Street released a new challenge so I'm considering picking it up. It hasn't fully captured my brain, but I can feel it in there from time to time and depending how it lands it might be my next project [0]. I'm not really a hardware person but I'm close enough that it's maybe within reach
I've been working on a cross-platform GUI system called Affiche.
The basic idea is to separate an application's UI semantics from the toolkit that actually renders it. The same application can currently be presented using native Win32, Cocoa/AppKit, Qt6, GTK3, GTK4, Swing, or a web browser. The UI can run locally or be rendered remotely by a client, without the application itself being rewritten for that environment.
I've also been working on a declarative layout format and, lately, a visual designer.
It started as a rewrite of an architecture I worked on many years ago, mostly because I wanted to see how far the idea could be pushed with modern systems. It has turned into a considerably larger project than I expected.
Still private and very much under development, but I'm curious whether other people have run into the same problem: maintaining applications that need to survive changes in GUI toolkits, operating systems, deployment models, or client environments.
I’m working on two projects that make public data easier to explore through maps.
US Energy Cost Explorer (https://energy-maps.com) is a free tool for exploring electricity and natural gas costs across the US. You can compare states, follow prices over time, and look at bills and energy burden. I work in energy affordability, and I wanted to make this information easier for people to access and understand.
MarketGround (https://marketground.io) lets you draw an area or choose a travel time around a location, then explore its population, income, housing, and nearby businesses. It also shows daytime versus nighttime population, which is useful when thinking about who might actually be around a potential store or restaurant during business hours.
MarketGround is a side project, and I’ve found getting it in front of potential users harder than building it. I’d be interested in hearing from anyone who has evaluated a retail or franchise location. What information mattered most, and what was difficult to find?
A way for BJJ and martial arts academy owners to manage attendance, payments, class schedules, and student progress.
I train BJJ myself and saw how much time instructors lose to admin work, so I wanted something simpler and more focused than the generic gym software out there and have been having a lot of fun building it with feedback from real academies.
I've been working on PCB generation projects with MCPs, mostly with KiCAD because of the ROI.
- Flexible rp2040-based instrument tuner
- Stratocaster-style PCB art pickguards
- NeXTBus experimentation board (not that I'll ever use it, but I'll be darned if I don't understand the nuances between NeXT and Apple's NuBUS implementations better now)
This extends to firmware and emulation projects like Doom and the Quake trilogy running in Jira Cloud (https://marketplace.atlassian.com/apps/3372062249/doom-for-j...) and a fork of 86box dedicated to NeXTstep systems (i want an emulated object.station, darnit)
About fifteen years ago a puzzle game called Trainyard came out for iOS and took my dev team by storm for a few weeks. It ceased getting updates some years ago and isn't on the app store anymore. So I came up with a variant on it and just put up https://www.geoffcanyon.com/lightyard.html I need more puzzles to include in the base pack, if you come up with something interesting, export it and send it to me!
Have been running an in-school pilot over the last school term. Has been super insightful and led to a heap of changes to optimize UX. However, the biggest challenge has been delivery in this environment.
Trying to run a game in a browser on school iPads powered by really locked down networks has been challenging. Some school iPads will crash (out of memory) when launching the camera view, whilst others run flawlessly. We use a fork of Godot, and are constantly fighting to strike a balance between UX (increased parallelism) and browser device constraints i.e. a limit on how many web workers we can fit in memory.
In addition to our main (build and play your own RPG) experience, we also stream games direct to iPad. In particular a modded version of Overcooked! 2 that teaches kids to code — Overcooked itself was never even released on iPad. We've built our own Kubernetes system that spins up (a license limited number of) games/pods on demand backed by (time sliced) NVidia GPUs. This is literally running out of my home office. Despite the complexity of building all that, the Kubernetes and GPU time slicing wasn't even the largest hurdle. Turns out UDP is a no-go on the school network, so direct WebRTC was out the window. Instead we're using Cloudflare's TURN relay with TCP. Which much to my surprise, is holding up quite well.
Definitely a learning experience. However, kids are having a blast. Can't wait to roll this out further!
https://grandpacad.com - AI modeling for 3D printing
Been at it for about year and a half.
Really exciting stuff is happening literally every month, because underlying models are getting better and better. When I started it was pretty basic: “make a cube with a hole through it”. Now it’s at the point “make a raspberry pi 4 case” and the agent searches, builds, verifies…
What surprised me in this process is how little meaning AI benchmarks have. Pareto frontier for my use case looks completely different than any other benchmark portrays.
Same here. 5.5 would sometimes oneshot relatively complex models even without MCP. Opus, however, even with Fusion 360 MCP access would usually make comically bad models. It seemed that Opus tried to reason through the problem while GPT would come up with a general plan of using whatever tools were available to solve the problem. In chat, it would use the available Python and trimesh. It was also the only time I had ChatGPT work on something for over 30 min without giving up.
I'm needlessly reinventing the wheel in replacing almost every part of my X11 environment like a menu, bar, wm+hkd (except terminal since I don't want to mess with carrying terminfo around) to be portable and not at all interdependent.
AI is making it possible to (expeditiously) have everything I want or need on Linux or BSD written in POSIX shell or C is doing wonders for me. The initial effort and time pays off in knowing it will essentially function as intended forever, and no developer can make changes that disrupt my workflow or preferences for my environment.
17,000+ users already! It's a completely ad free, subscription free product.
MacroCodex app, which results in guaranteed weight loss or weight gain outcomes within 2-3 weeks. Many people will start seeing results within the first week.
Don't believe? Read the reviews.
CalorieCodex - calorie tracking app which has a Agent Harness built in using BYOK (bring your own key model). How does it help? Using this anyone can track calories and plan their meals. Agent includes skills which help you accurately track calories and plan meals.
Symbiote App - Think "BoostCamp" but completely free, no ads, and fully programmable workout tracker
I’m working on an app to help my late diagnosed ADHD - through sound.
The app wraps whatever is playing on mac through device convolution (old radio, hifi system) - Room convolution (a bedroom, a forest) and adds ambience (rain, wind, waves) and Apples spatial processing - so it sounds like a real space.
For me - hearing the sound in a space really helps more than just the dry sound.
I'm woking on AgentSpork, a permissionless public board where AI agents request help, respond to each other, and review how well tools support agents. I'd love any feedback from y'all (or your agents) on the idea or implementation. Inspired by recent emergent agent swarm message boards, but hopefully in an aligned way!
I’m building a website for discovering first names that’s enjoyable to explore: https://abracadanames.com
It started with a family member telling me they were frustrated with existing websites. What I noticed is that in many cases they feel cluttered and not smooth to use, almost like a 1-to-1 translation of the underlying database queries, where they have you choose filters and sorting options upfront then browse the paginated results.
I wanted to avoid all of that by creating a different experience; I built an interactive full-screen wall UI with infinite browsing so that most of the screen space is dedicated to the core content. I worked on the name sampling algorithm to try to make it as enjoyable to browse as I could, and the only filter displayed by default is the one to select genders.
More advanced queries are available through the search field which supports natural language queries, running on a local multilingual interpretation engine with a cloud LLM fallback. The database engine is custom built with Rust, compiled to WASM for higher performance when running on CloudFlare Workers. I don’t use an external DB service for names today.
What I’m pretty proud of is to know a lot of technical work is hidden behind that UI, and how it has been shaped by the experience I wanted instead of the other way around.
I’ve been working on Foreclosure Data Hub, which aggregates foreclosure auction data across the US.
The interesting part has been the data pipeline rather than the website itself. Foreclosure information is scattered across county sites, auction platforms, and other sources, all with different formats and update schedules.
I’m currently pulling from 20+ sources, normalizing the records, deduplicating properties, and enriching them with property/location data. One surprisingly difficult problem has been handling stale records when upstream sources change or republish old auction information.
Still working on improving data freshness and coverage:
I'm working on a way to make some pretty advanced software in a single HTML file.
The idea is simple: store state you'd normally store in a separate database in the document itself.
Then, also give the the document a bunch of powerful APIs granted to it by its host:
(1) Sync changes to the document with live collaborators
(2) Extract data from the document using a simple JSON map config
(3) Boot up a full content CMS from the same simple JSON map config
(4) More features added every month
I'm really excited with even the tiny bit of early traction I've gotten. About a dozen paying users so far.
Long term, I'd love to have this file type (vanilla HTML file + some extra features granted by the host) become a file type other companies offer tools and their own hosting for (like Wordpress).
Bunch of things:
1. Building a local ai news feed to learn what's going on latest in terms of technical discussion, research papers, projects - https://local-ai-signal.vercel.app/
2. Build a second brain by injecting years of my notes using hermes, luna model and obisidian
I'm building an expedition weather app that works via satellite messengers like Garmin inReach, ZOLEO, and iPhone satellite messaging.
It has been really interesting trying to fit a detailed weather forecast into about 1,000 bits. I'm using an rANS entropy coder fitted on historical weather forecasts. I'm able to fit about 100 time periods (~4 days of hourly data) into a 160 character message, using just a couple bits per variable on average.
I have been building document intelligence in enterprise for a long time now, and even with sota OCR, SLMs, LLMs, all the myriad of services now offering this - most of them miss something.
So over the years me (and my team) have built up a lot of experience dealing with these for sensitive industries like healthcare/insurace/lending etc.
We are bringing these ideas out as a router to other parsers, but with some key takes that allow you to manage failures.
"Failure is inevitable so route for it."
It is still WIP and will be more polished in a month after some more rigorous testing and benchmarks.
If this is a problem you deal with, would love to chat.
Note: the intent is to launch a managed version that provides more durable compute/retries, parallel execution, intent understanding etc but this is for later.
Haven’t started, still in the planning phase, but I want to build a Tamagotchi for readers. I’m calling it Tome & Tail: a little black dragon living in a pixel-art library on an ESP32-S3 with a small round AMOLED screen.
You’d start a reading session and the dragon would read alongside you. What you read would influence its appearance and habits; lots of sci-fi might give it starry wings, for example. It won’t die if you go a week without reading.
The plan is to keep it playable offline, with optional syncing to Booklary, the reading tracker I’m building. I’m leaning toward C++, which I never used, so it’ll be a learning experience.
Currently waiting for the Waveshare board to arrive so I can start development, and looking for an artist to commission the pixel art. Used GPT to design a concept[1], which I’ll use as examples to the artist.
This will be my first ESP32 project, so getting the dragon blinking on screen is the first milestone.
Cool idea - I forgot where I found it but there was a cute dragon Tamagotchi clone that I found for Arduino a few years ago.
For ESP32 - recommend paying close attention to the FreeRtos, it's seriously powerful. Even if you are just using Arduino style code you can use it for background scheduling and interrupts (for your api and buttons for example), as well as dual core use on S3.
I've been building my own IDE that works the way do (and those in my social circles/professional life do). It allows for use of multiple agent harnesses (i.e claude code, codex, pi, opencode), and makes worktrees much easier to work with. Also has its own code review workflow. My coworkers and several friends have all started using it now. Its been an absolute blast to build, and has definitely increased our productivity vs VS Code, Zed, or Cursor.
The app has recently moved into production, so I'd encourage anyone with verbal but pre-literate kids to check it out.
The basic pitch is high efficiency acquisition of the highest yield phonetic mapping skills, and nothing else. I myself am something of a screen-time zealot and very wary of applying engagement mind hacks against kids. The narrow focus allows for good progress on a very modest schedule (recommended cap at n minutes per day for n years old, n >= 2). I defer the social and cultural aspects of learning to read entirely to parents.
It is mostly intended for parent-child co-use, although kids with a bit of experience can drive many of their own sessions most of the time.
Built a small free thing this week: a "Spreadsheet Triage Checklist" — 7 common ways ad-hoc spreadsheets quietly break (stale copies, silent formula errors, no version control, etc.) and the order to fix them in, since fixing them out of order usually wastes the work. Came out of watching non-technical teams patch the same spreadsheet for years instead of ever stepping back. Still figuring out if this is a "checklist" problem or a "just use a database" problem — curious which camp people here fall into.
Last year, Mozilla released Orbit, an AI-powered browser summarizer hosted on a GCP server. After people started digging into the extension, they discovered things like backend endpoints such as store_result. Eventually, Mozilla discontinued the project.
For the past month, I’ve been trying to rebuild Orbit from scratch, but with one major difference: Apogee is fully local and privacy-focused. Apogee doesn’t send or store your data. It can directly connect to your local Ollama instance for inference. I’ve also added WebGPU integration for Chrome and Transformers.js for Firefox to provide faster, local responses.
It can summarize: Articles and websites, YouTube and Billie videos, Wikipedia articles, Hacker News and Reddit threads.
I’m building Hammer Labs (https://hammer.ai) to study when healthcare AI agents are wrong and when they should refuse to answer (judgement).
It started after spending 15 years building AI for insurers, hospitals, data companies, and startups. Almost every system ended with "a human reviews the output". That person was usually a nurse, medical director, or certified coder. These are some of the hardest people to hire, and the same people automation was supposed to help.
The problem is that real claims do not have an answer key. You cannot reduce human review until you can measure when an agent is wrong.
Getting claims data is also difficult. It can take a year of data agreements, privacy reviews, and procurement. Even then, you may not know what the correct decision should have been.
So we generate claims. Utilization and case mix come from published data. Claims are priced using real fee schedules and contract terms. Payers behave differently, like real payers do. We plant errors on purpose, so the correct answer exists before any model runs.
On top of that, we are building benchmarks for overreach, refusal, errors by record type, and detection time. We are also building small MCP tools that refuse when evidence is missing. Every number includes its source, date, and basis.
What I find interesting is how much of this sits between actuarial work and machine learning. Both are needed, but I do not see many people connecting them.
Working on Clor, an agent multiplexer for Claude and Codex with shared memory. It's free on your own machines.
The idea is to help developers multiplex agent sessions and run Claude and Codex together, which is much more powerful than running one or the other alone.
My secret goal is to figure out how to make software development the kind of focused, meditative work it used to be.
A way for for U.S. car owners to stay informed about the issues your car may experience that are communicated by car makers to dealerships.
I found those communications useful for my own car and wanted a better website that what the NHTSA provides and have been having a lot of fun building out the site.
My wife and I made a daily guessing game together. Unlike others of the genre that we enjoy playing, an explicit goal of this one is teaching you about the world as you play it. It’s quite simple, using Wikipedia and factbook.json for information about the countries, but it incorporates a few ideas that I think are fun and there’s a lot I’d like to experiment with.
To my surprise, I think it's the first open-source revenue analytics for Stripe.
I worked at Stripe building both revenue recognition and analytics, and I always wanted to build an open-source version of those. Finally, I had the time to do it.
Also, an orchestrating agent that supervises subagents running tasks by checking their output and qualifying their results by efficiency and time consumed. It is amazing!
I am currently building an app every couple of days, but with this orchestrator I can build many apps in parallel. It is raw at the moment but it works
Now the time we spend writing prompts will be spent writing plans, tasks, schedules and metrics. While super interesting, this is definitely not the route I want to take for the sake of my sanity. I think we may start asking our model to write plans and tasks for us too, but the more complexity we add, the more complex thoughts we have to manage as AI architects
Also hacking DeepSeek Harness to circumvent all restrictions it has, giving it super powers to run unattended with full access to everything
I’ve been working on Opslane, an open-source agent that identifies user-facing issues and investigates them.
Traditional error trackers have two failure modes:
1. False positives: They show you thousands of errors, and you can’t tell the impact on the user
2. False negatives: Many user-facing issues don’t throw exceptions, so they go unnoticed.
Opslane combines error tracking and session recording. And there is an agent that acts on both.
Opslane reduces false positives by ranking issues based on how many users are facing a particular issue. It also learns about your product by reading your code and watching your session recordings.
False negatives are harder. Opslane reviews session recordings to spot frustration. They look for rage clicks, dead clicks, and abandoned forms.
Self hosted database access management, think Code Reviews for SQL Statements for when your devs need to go to prod:
https://github.com/kviklet/kviklet
Recently cleaned up my postgres proxy and built a MySQL wire proxy so that you can use psql/datagrip as a dev but every statement is still logged.
With SSO and no password sharing ofc!
I am still working on MyTinyCafé https://mytinycafe.com/ a PWA to help you be the barista at home and take (free) online order from friends and family. It is fun and I am happy to share it for free !
And also Kronikle https://www.kronikle.eu/en/ an app for local libraries. It creates public display interfaces that (I think) are good for showcasing their events.
I love the name and idea of the tiny cafe. Heads up on dark mode, the “Open My Tiny Cafe” button is white text on the gray background; a bit hard to read.
It has the ability to generate a small notebook from a problem description using AI (still has a lot of room to improve), but the calculation uses a deterministic engine.
Why? There's no why. The world doesn't need another Markdown editor. I still made one.
Everything is on-device, purposefully human-centric without being anti-AI. I built this because I wanted to work on a project that I could sweat the details unconstrained by deadlines, investors, etc.
I was frustrated with other writing experiences, and like most I gravitated to Apple Notes due to simplicity, but I still missed so many things. As someone that's spent the last 2 years immersed in Cursor, Codex and CC, I wished some of their input behaviors existed in a regular text editor.
For example, you can use / to add styles, or : to add emojis, shortcuts like < 3 for a heart, - > for an arrow, and so on. It honestly feels great.
Is it radically different than other editors? I don't think so. But I think it's well executed across every dimension possible.
Maybe one different thing: multiplayer. It's live editing like google docs, but P2P using WebRTC and strong cryptography. The limitation here is that you can only share a file while having it open yourself.
Great care was taken to performance and portability. This is one of the areas where I spent a ridiculous amount of time simply because I enjoyed pushing the limits of the stack. While using you will notice that rendering, GPU, RAM and bundle sizes were heavily optimized. The Mac app is < 50mb.
Very soon, I'll launch an iOS version with iCloud sync. In the future, I might launch basic AI features. If you miss a great text editor in your life, give it a try.
A rag api to power better, more tailored ai features in saas products. By default it indexes customer websites, but also supports notion, YouTube, email and custom connections. https://www.context-link.ai/for/white-label-rag-api
I'm currently working on https://avotoast.ai, an AI assistant for doing property research for Sydney, Australia.
After being frustrated with outdated & inaccurate data Claude used when I was trying to do some property research, I thought it'd be cool to build an MCP that can provide accurate property data. Then it evolved into a full web app + an AI assistant.
This was also an excuse for me to try DuckDB in a real project. All the API endpoints are powered through in-process DuckDB querying parquet files stored in disk.
I thought it might be fun to have a “proper” search engine for my laptop, so I wrote a thing (with my fingers! No Claude Code or codex here!) to scan my home directory and put data into OpenSearch so I can search stuff. [1]
For that matter, I also decided to self-host SourceHut because I will no longer be in compliance with their new policy. I have the flakes set up to inject them on my server [2]. This was very AI assisted.
[1] https://git.brucewillis.sexy/~tombert/fs_index I promise it’s safe for work, despite the URL. That’s just my dev URL that I play with. Code is still a mess though, so proceed with caution. I will eventually clean it up.
Been working on a replacement for my Git GUI of choice, Tower, for the last few months. I've been using Tower 2 for almost a decade now, refusing the monthly subscription to upgrade to a fresher version. I'm going to keep mine a one time purchase with support guaranteed for a year. If a major version releases after that, it'll be another perpetual license for the new version. If you want the new features, you can choose to upgrade, if you don't stay on the version you're on until new feature warrant it.
The idea is to make an extension that allows you to flexibly fill out fields on your cards with AI generated text, speech, and images. Think generating example sentences for your entire deck, or adding furigana to kanji (small phonetic characters with a very delicate syntax). It works just as well for language learners as it does for medical students, etc.
The secondary goal has been to make this the most well designed, intuitive, and stable Anki extension in the world. I don’t think it’s there yet, but it’s on its way. It’s been very interesting to try to work out a design that affords the flexibility to generate anything for whatever you’re studying but remains approachable and discoverable to your marginal Anki user, many of whom are younger and have varying levels of English ability. Many interesting technical challenges as well.
Slowly building towards the Show HN post, but need a few more features. Connecting with and chatting with dedicated users in countries around the world over the last few years has made this the most gratifying thing I’ve ever built! It’s still at the scale that receiving support emails is fun and I can build relationships with power users and long term subscribers.
We're working on a better change management process for production deployments and SOC 2 audit evidence.
https://www.approvegate.io
I'm a Senior Eng on Wall Street, so I have my own personal experience with this problem, but i'd love to connect with other leads, release managers, etc to get their thoughts, suggestions, and what their current process looks like.
Constantly and carefully iterating through refinement and features. It's built on Rust + Tauri with a React frontend, in case anyone is curious.
I've created various open-source and commercial tools in the multimedia space over the last 10+ years and wanted to put it all together into something more premium with an IDE-like experience.
Most recently I added a /playground area to experiment with the inspection tools via a WASM build, which I thought was a neat way for users to try the app before downloading the full version.
Spending almost all of my time working on DNTLS (https://dntls.net/). Yesterday I was able to create secure mTLS tunnels over IPv6 for direct P2P to my co-founder's desktop in SE Asia (I'm in the US). He was able to load a website I was hosting locally on my machine. I also tested coordinating through a relay to avoid publishing my public IP and sending all traffic through the relay to hide my IP entirely. We more or less recreated the "old" internet in a way except everything is mTLS and E2E encrypted.
My wife and I are working on a math/science/CS-inspired jewelry: pieces that stand on their own aesthetically but have a hidden meaning.
We currently have two styles: lambda calculus based pieces (we depict the Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.
I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.
We have our pieces in consignent in a jewelry store, and are working to put them in a museum store.
I love these! I recently designed a few decks of playing cards of mathematicians for my dad as a gift, my favorite part was designing the backs: a zeta function for the pure-maths deck, a Moore curve for the computation one, and two interfering waves for the physics one.
I've been building Ballad – an inbound marketing engine that runs itself. I'm building it for other founders like myself who don't have a marketing person and aren't going to hire one.
My last company (Courier, YC S19) had great inbound but we never were able to scale it. Ballad plans what I should write, drafts in my voice, publishes to my accounts, and handles attribution so it can feed that into what it writes next.
I'm working on a self-tracking app and an Astro Web Starter Template! :)
The app is very customizable, local-first and is built to adapt to what you want. Goal is to combine habit tracking, health logging and journaling into one fast and easy to use interfact.
Have been working on it for almost years now and it's making great progress.
My Astro Web Starter is built for building well-designed, performant and accessible websites. It contains everything a high-quality website needs (In my opinion). I built it so I have one good base on which to start my web projects on. Using basic HTML and CSS that can scale, without bloat.
README is very bare bones, needs a video or a picture too. The website should tell you some more things: https://kavla.dev (and now the demo does not require a login (also need to remake the demo to fit the new self hosted version))
It's still lacking an analytics agent for the local version though. I've explored using codex CLI, but it feels like its extensive system prompt cripples the agent a lot vs Kimi 2.7 that I've been using in the cloud version.
I think it would also be nice to lean into the fully local LLM setup too, especially for data that shouldn't leave the device.
I'm working on a own x86_64 UEFI Operating System (OS). The idea is to make an OS that looks like Windows Vista but behave like Linux, so it's a mix of Windows and Linux. I've startet three weeks ago with a custom bootloader and the legacy bios VGA textbuffer and now I'm working on a real USB-HID (USB-Human Interface Device) and have troubles with the keyboard. I also have problems with booting from real hardware. If anyone is good at low level developing the project is source available and I appreciate collaborations with other os developers. Link to Codeberg-repo: https://codeberg.org/vntx-labs/VeloOS
Hope that is no problem that I use this thread a bit for self-promotion. If so just write a reply I'll remove this comment if this is a problem
Inbound message AI assistant. Triage all incoming LinkedIn messages, link to email chains, handle scheduling and back and forth, drafting replies, etc.
I'm currently in a job search and wanted to automate it for myself and learn the AI stack.
I'm doing some programs to use the API for my local bus company to show when buses are arriving at stops. Final step is making it output the data to an external display.
Some other projects doing similar stuff but I found they were hard to understand (and mostly used an old API that no longer exists) so I (well AI) made mine with small scripts and included curl examples.
I'm working on CLI/TUI tool that stores all code collaboration (issues, PRs, etc) in git itself. It lets you publish repositories as static sites to S3 buckets and use them as remotes:
I've been working on building hyper-local services, sort of as a love letter to my community in Denver, Colorado. Before decent LLM harnesses, these would've been prohibitively expensive in time and resources to build out and would never break even. Now I think I might be able to at least cover hosting costs and tokens; that's enough to keep these sustainable for my neighbors.
Broomsday: https://broomsday.com sends folks emails and SMS the night before street sweeping parking restrictions for their block(s). Email notifications are free, SMS on a paid season pass. The schedule here is block-by-block and easy to forget, so people get ticketed _a lot_ at $50 a pop. The city has an email-only notification service that's free, but it's poorly supported and the interface sucks. This is ready; I'm testing with friends and family currently before attempting real marketing.
HailPass: https://hailpass.com similarly is a notify-before-pain service that integrates a bunch of open weather services (NWS/NOAA mostly, plus a handful of impact reporters and working on a small hail-specific ML model) to give folks on the Front Range 5-10m heads-up before damaging hail arrives at their location. Weather prediction is (not shocking) hard so I'm still tuning to get as much signal out of the noise as possible; some false alarms will be unavoidable but I want to cut them down before even a F&F release. This year's season is pretty much over with, so aiming for an April '27 release.
There's a lot of ski/snowboard/winter sport culture here, but there's also existing services for those, and I'm mostly trying to offer new coverage where there isn't a good option for my neighbors. Might do an ash borer treatment/prevention service navigator yet.
None of this is going to make me wealthy or famous, but building things that help the people that I actually interact with every day and that are a part of a community that supports my family feels _really_ good.
I'm designing a retro-style gaming mouse for retro-computing: Amiga, Atari, C64, and several protocol variants. It also has USB.
It has a scroll wheel: read using extended protocols introduced by recent adaptors from USB, and a configuration interface.
Totem is a collaborative workspace, featuring tasks, notes, and docs, built in Rust and available across desktop, web, and mobile (iOS to start) with seamless syncing and offline merge.
I built this because I think there's a lack of true realtime (CRDT) synced notes that aren't built on a heavy platform that take up 1GB+ RAM (Totem takes up ~100MB, and is also generally more responsive due to the local-first + ops-log approach).
Another thing I care about is keeping the underlying data portable: Totem is built on Markdown and SQLite as its core formats, so you get the convenience of cloud-based syncing without locking your data into a proprietary format.
I’m still looking for beta users/design partners before the initial launch. You can try it without creating an account here:
This is a bit of an unplanned post, so the sandbox template is a bit barebones (empty docs, doesn't feature a properly setup table). Nevertheless, I would love to hear your feedback if you try it out, especially if you use collaborative notes/docs today and have opinions on what they’re missing!
I'm building Bellerophon, a DSL with decoupled firmware adapter architecture for 3D printer control, so the same source code can compile to Klipper, Marlin, or RepRap without rewriting logic per target. Recently used it to generate print patterns with math that you wouldn't get from a slicer.
Right now, I'm mid-way through migrating the application off browser localStorage onto a proper JSON persistence layer. My first large solo project as a busy student.
Working on slk (https://github.com/gammons/slk) which is a TUI Slack client that runs in a terminal. It's super fast, keyboard-driven, and it's been my daily driver for a while now.
... and used Claude to crank the software up to 11. Network management console, RESTful API, added hands hands to the pupils so it serves as a clock, NTP, added sleep mode at night, added different eyes, OTA firmware updates, and more: https://github.com/michael-gebis/creeper-eyes
Still working on my traffic simulator. Pushing up past 62500 updates per tick on 16 threads, just barely enough for 512 cars with full tire/drivetrain/suspension/physics kernels at 120hz, or a great deal more at increasingly slower rates (down to as low as 6hz) with fractional amounts of fidelity.
ChonkyBlox: A new approach to Block based coding - instead of complicated algorithms to derive the code from block programs I am using AI on the back-end, which actually makes a higher level of abstraction possible with the blocks. Each block has an LLM instruction attached, along with rules defined in the bespoke back-end harness.
Also: kids can code using cardboard cut-out blocks and just take a photo to import, generate Arduino firmware, compile and flash to ESP32 - all from a single docker web application.
Hoping to bootstrap a cheaper, open source alternative to current systems (one of which my son is using at his school). I have had success doing this with another project on Patreon so that's where it is going to be launched. https://www.patreon.com/ChonkyBlox - so far just a couple of demo video's but code will be released in full once I have added more blocks and a tutorial.
Ultimately this is aimed at the South African education sector, where many schools may have only one computer available for a classroom to share, hence the cardboard cut-outs. There is also a hardware component still in development - a simple pcb breadboard break-out with connectors for components instead of kids having to use jumper cables on the breadboared. We also have a working Desktop application which does code assistance from within the Arduino IDE - using the same web server with api, so literally everything from very small kids to advanced is covered.
QuickMDSim - An easy way to run molecular simulations in the cloud: https://quickmdsim.com
This simplifies the setup for researchers who want to simulate materials science problems like battery electrode performance on GPUs with a simple usage-based pricing model instead of traditional HPC
Iterating through and evaluating possible approaches for shrinking the binary size of a tree-sitter based Vi/Vim compatible tags generator I am developing without affecting the developer experience for adding support for newer languages[1]. A couple of approaches have already been tried and failed to live up to the expectations on developer experience [2][3]. Next in line is to look into bundling only the tree-walking code for all supported languages with tree-tags and allow the user to configure the grammars to download separately from the main binary, possibly using the `wasm` feature which allows native library to run wasm compiled grammars.
Tried to use a generator for automating the bulk of the scanner for a language from `grammar.json` file of a tree-sitter grammar. A runtime engine uses the scanner for a forward only walk on the scanned code and calls the hooks to generate tags.
I'm working on SpecPilot (https://specpilot.dev), a spec-driven development layer that sits in front of Claude Code, Cursor, Copilot and the rest. It deliberately doesn't generate code. It scaffolds a .specs/ folder and hands the actual writing off to whatever agent you already use, so the specs become the thing the agent is held to instead of a prompt you retype every session.
Open source, free, no login, nothing to sell. I'm not trying to build a business on this. I just want agents to write better code, and that only happens when they have something firmer than a chat prompt to work against. CLI is here: https://github.com/girishr/SpecPilot
It started as a TypeScript CLI in January. Enough people told me they either didn't want a CLI or didn't know how to use one that I rebuilt the front door as a guided chat: 27 questions, runs fully offline in the browser, outputs the .specs/ tree plus an onboarding prompt for your IDE.
Recently shipped an MCP server so the agent can run the questionnaire itself rather than the human doing it, published to the official MCP registry and Smithery. Next is brownfield: point it at an existing repo and backfill specs from the code.
Honest state of things: the Product Hunt launch got 4 votes and around 100 visitors, and I had no event tracking wired up, so I couldn't even tell how many of those generated anything. Fixed since. Usage is small but real, and it's coming through MCP rather than the web app, which I did not expect.
The part I keep circling back to is that spec generation is easy to copy. Spec enforcement is where the value is: checking a diff against the spec and failing loudly. Feedback welcome, especially from anyone who tried SDD on an existing codebase and gave up.
It’s an AI Private Investigator that does the hard work of data gathering (using Open Source Intelligence) and correlation. Used by over 70k investigators including government agencies.
working on a storytelling app for kids called Tella Stories that goes deeper than just some minimal personalization.. know there's lots of stuff that claims to make them the hero, yadda yadda but then they just give you a shitty digital templated story or try to sell you a printed version. this is focused on a high level digital experience and something parents can actually trust, and that kids actually enjoy.
so yeah.. it builds the stories out of their actual life. their family and friends are in the cast, their dog, the thing they're nervous about this week. the kid doesn't just appear in the story, the story is about their world and imagination and grows with them.
ultimate goal is to keep iterating and get to a level of quality of Bluey, etc but have it actually be the kids world with agency/choices vs. one they have to passively sit back and watch, and that they're not in.
would love any feedback. i know there's been others like Ello shared on here and those threads were really interesting to know HN's opinion on. this does not take an educational and instructional approach. Tella is meant to help develop who they are through stories and be a better screen alternative time to the rest of the algo/curated garbage out there. anyway you guys are a critical and technical bunch and i respect/appreciate that.. especially since this of course leverages multiple AI services to create the stories ~
Working on https://tenjin.sh/ . It's a knowledge layer for agents so agents stop duplicating work.
Rides Claude Code/Codex hooks and captures useful information, and injects it at need (like when there's an error) for other agents. It works across your team then at a global marketplace layer, so there's incentives for people to contribute.
We're in the process of benchmarking and we are aiming for 10% in token reductions. If any team is interested, we're accepting preliminary design partners and can get you started with the benefits.
Haven’t see a lot of app in this space but most of them focus on wastage rather than usage so I am playing around with https://usurp.onrender.com/ the idea is to challenge friends based on time spent using an AI coding tool, thought was more like what wakatime did. It’s also open source.
- an open source AES67 hardware receiver/decoder - based on my friend Jessie's work [0]. I want speakers to have ethernet ports and to use an open/inexpensive stack. it's hard because physics/timing are brutal (1ms sync is ~not enough), but that's what makes it a great problem.
- an open source embroidery machine - based on my friend Owen's work [1]. Owen found Brother PE-150 machines which are readily available on eBay for ~$100 as they only work with proprietary 90s-era CF cards which nobody has (or sell for more than the machine). he designed a replacement motherboard (!!) and is running a fully open stack. it's wild.
- a ~$20 tiny cute display you can have on the side of your monitor, and display things on - realtime airport view from flightaware? a mini terminal? you can grab a display today [2], all that's missing is a 3d case (email me for firmware/OS code! I'll share it, just haven't had time). friends Frank and Sophie are working on a similar GUD-compatible display as well! [3]
- my friend Antoine has been working on Python bindings to Canonical's dqlite, a distributed sqlite-variant with raft-based failover and transactions (only C and Go clients existed) [4] - this will soon be a structural ("load-bearing"! haha!) part of Disco, a project we've been working on for a few years which lets you run your own PaaS. we're growing and get nice love letters [5] which for an open source project is obviously deeply rewarding
It's a CD tool for Kubernetes built on top of Flux and OpenKruise canary controller to bring a full-featured end to end delivery on Kubernetes over multiple environments in a declarative way without the pipelines.
I wanted to stop reinventing the wheel with pipeline engines every time I needed to deploy something. Every stage of the delivery is just a composable component (health checks, smoke tests, schedules, environment promotions, service dependencies).
I just released a new version recently that integrates with GitHub so one can track exactly what's deployed where and how far your change progressed.
Because my work life is mostly LLM promoting, I’ve gotten back into hobby robotics, which I think has a low chance of LLMs taking over anytime soon. Designing and building a robot that can build a wooden hardwood deck using the edge-screw method.
Cricket, a visual scripting plugin for Figma inspired by Grasshopper for Rhino.
I find Grasshopper, especially its data model, ideal for a certain type of algorithmic art/design, and have always wanted to use it in a 2D graphics package.
I'm working on https://pushrealm.com the AI-first knowledge sharing network. Think StackOverflow for bots. It works like this:
- When your agent is stuck on a bleeding edge issue, search Push Realm first for a solution.
- If you find a solution, your agent can mark it as successful to help surface the solution to others (and hopefully save fruitlessly burning more tokens)
- Can't find a solution? Post an open problem with your current investigation. Another agent may be able to solve the problem, and will have a head start thanks to your context
- Solutions can be linked/edited/have addendum added by any agent, allowing complete, up-to-date solutions for a range of cutting edge issues
I’ve been working on Pick Up, a reading companion I built to make tracking books feel a bit more personal and fun.
You can track what you’re reading, keep notes and reflections, see your reading stats, build out your bookshelf, and a bunch more. Over 4k monthly active users.
Been building it solo & adding features based on what readers ask for.
I'm making an online guidance solver for KSA (https://ahwoo.com/app/100000/kitten-space-agency). It will allow you to control a KSA rocket from the command line for a variety of maneuvers (launch, rendezvous, etc). It uses successive convexification to turn the full nonlinear problem into a sequence of convex problems with linear constraints and quadratic objective.
It has proven surprisingly resistant to AI so far - Astra can make a very quick prototype but upon review it had many defects. I have had to guide it very thoroughly to find all the random solver bugs (bad conditioning, formulation, bugs in openscvx which I had originally had the AI port to rust, etc.) preventing well-behaved solves. But I think (hope?) I have turned the corner on these.
This will enable some very interesting further experiments: full mission planning, Falcon-9-style ascent with split control, vehicle swarms, etc.
a replacement for Octopus deploy https://rolloutrhino.com/ (marketing page is mostly a placeholder). Octopus is super expensive for our company and scales poorly if you have lots of small projects. I've got pretty much everything working really well, and the main thing I'm working on is improving the UX for all the workflows I do most often. It is mostly built around what I wanted from the tool, but before I release it I'm looking at supporting various other ways people use the tool. It's been a fun project so far.
I'm building editor and flasher for BMW engines maps (n13, n20, n55, s55, b58, s58) and TCU maps (ZF8HP45 and ZF8HP50) as well as a remote access ENET IOS and Android app.
Keel is a productivity app that combines todo lists, pomodoro, and an AI executive coach to let users go through a whole plan > execute > reflect cycle in the app. The AI agent (text or voice) can help with planning and guide reflection, but it generally does not do work for you like other chat bots.
The android app is in beta now and the iOS app is in development.
So far I have bazel macros up that can produce tested code with a ~30GB MoE model (Jundot/Qwen3.6-35B-A3B-oQ6-mtp, I can get ~90 toks/sec on a M3 Max!) using cleanroom separate implementation and test development (and then comparing them until both are correct). Over the last month, however, I found that my bottleneck is in the specifications: as I further divided my components into separate parts (since smaller components are easier to write and test), I started hitting problems with specifications becoming badly ungrounded (code depending on knowledge they cannot access, so something is just hallucinated).
The spec format is designed to be declarative and very modular, and ya, an LLM is primarily writing the specs as well, so I hope to create some sort of formal reasoning framework that the specification can be translated into (by an LLM) so that ungroundness feedback can help the LLM write better specs. Also, I found that it really is much more robust to change/refactor/add features via the spec first and then align changes down to test and code, then to make changes to the code directly (even without using the system, just asking a frontier model to look at the guides and do the alignment itself directly).
I think I'll be ready to do a release over this next month, which means:
- Supporting a build system other than Bazel to express DAGs. Honestly, this could be anything, I just chose Bazel for convenience (easy to express graphs in Starlark), but it assumes a monorepo world that I don't think many developers use.
- How do I even package this? The advance of using Starlark is that I can generate python code to call into the generated python code directly. If I move away from that, I need to figure out what this really looks like as a binary.
- More demos. Right now my only project is the code for the system itself (the classic "the first program of a language is the compiler for the language"). I just can't think of many interesting things to do in Python that aren't agent related (I can support other languages, like Java, Typescript, or even C++, but I'm hitting choice paralysis).
- I've been tweaking a bot that I built to doomscroll job boards for me, to recycle more parsing logic between target sites. It turns out that, much of the time, I can cut down on DOM-based scraping a lot by just parsing schema.org-based JSON-LD. Also casually researching vanilla Web components, view transitions, and Signals in a general effort to make the whole thing less framework-heavy. (Plus it will have side benefits to building the crawlers to have a better understanding of light vs shadow DOM.) Eventually I need to get to figuring out how I want to handle distributing this local-first app across multiple clients... I've been putting that off for a while, but it kind of crosses over with the JSON-LD thing, in that (even more than it did before I found this) it also just makes a lot of sense to use a browser extension to collect potential matches passively.
- 3D printing experiments. I got a used SV06+ a few months ago that turned out to be a lot more finicky than is suited to a first time user... but that was in the course of trying for several months to make plans with a friend that was getting rid of her Ender -- which I then managed to resurrect using all the cleaning tools and tinkering research that I put into my fussier machine. I've since been toying around with a lot of different ideas on how to clean up my workspace and/or fix/reuse stuff I have already (parts trays, Skadis panels, a case for an old Framework mainboard, various instrument stands...) and also toying around on paper with what kinds of printed items I might be able to sell.
- Starting on cleaning up a basement that resembles the Research floor from Control. Also a use for the printer, because if I can just print cheap tools out of PLA then I don't have to care about possibly needing to sacrifice them to the mold.
- Various Coursera stuff. My state has some partnership with Google for "AI readiness" training, that grossly undersells the various other adjacent topics offered, ranging from cybersecurity to marketing and eCommerce. Stuff where it may be a relevant topic at points, but isn't the subject matter.
I'm working on Solace¹, a programming language that targets JavaScript, but is not a superset, like Typescript.
The idea is, to allow zero-runtime-cost safeguards, like Optional Values and Error Unions (syntactically they look like Zig's), decent pattern matching and Traits. There's still a lot of work to do, though, because some of the approaches I went for, don't hold in all cases (generics are tricky).
At present the screenshots would consist of a billing system :)
I already have a product BenkoPhone.com but the app is provided by a 3rd party and I just white label it so I have started building the replacement.
I built the account management and billing system first after implementing a proof of concept for the app then had to do a major platform change which stalled development of any other features for 3 months.
Hopefully I’ll be adding features again by the end of this month and I’ll put some screenshots in once it actually does something!
It's based on the Server-Driven UI philosophy where the backend streams both code and UI into a frontend that just knows how to render what it's told. This is pretty cool because it makes it makes over-the-air updates possible.
It also follows the batteries-included philosophy of Rails. Has an ORM, background and cron jobs (all based on Postgres), Django-style migrations, JSX Emails and pretty great FFI that's built around a simple `"use native"` directive, in the React Server Component fashion).
I had a bunch of extra Fable credits, so I spent about $10k running autoresearch loops on 200 of the top github repos with frontends to try and speed up the frontend performance. I distilled them down into a leaderboard of the most common wins, and built out an autoresearch loop that takes those learnings and applies them to your repo.
Works with your existing claude/cursor/codex sub in a cute custom TUI.
Now launched => Verse Draft: https://versedraft.com - An all-in-one writing studio where fiction writers can keep all the details for their universes in one place while crafting stories, novels, movie scripts, TV series, or stage plays.
Also created a fun simple "card game" activity for writers looking for story ideas or stuck with writers block: https://talemancy.com/
(This was somewhat inspired by memories of playing Ultima IV as a teenager)
Currently working on something a little more visually focused in creative design.
Haven't added a demo to the repo yet (will do soon) but building this TUI [1] in Go to manage my agent skills.
I don't like putting 20-30 agent skills in the .claude/skills/ dir and letting the agent figure it out. I keep all the skills I've created and adapted over time in a separate git repo and then from there I copy them to the project skill dir when i need them for a session and then remove them when I'm done.
This TUI just replaces all the manual work with ls, cp -r, and rm -rf commands with a few keystrokes.
I'm decompiling an obscure 1998 computer game using an LLM agent skill that I'm simultaneously developing from papers and books on reverse-engineering (a subject I've never previously engaged with) with the aim of migrating it (well, at least its assets) to the browser: https://esoteria.pages.dev
It's all slop, but it's battle-tested and producing results. It's quite fun and inspiring to see some of these assets like textures and geometry that are improperly decompiled, bit shifted or something like that. produces a lot of abstract, glitchy art.
To make sure that my process and results are reproducible, I've gotten back into maintaining Concourse CI pipelines. They were very useful when we were shipping a fork of k8s for VMware, and now they are a fun way of shipping cyberpunk billboard sprites to Cloudflare buckets.
I got back into Concourse in order to attempt a more rigorous approach to generative AI experimentation as well. Unfortunately, there are just so many odd techniques, configurations, loras, and utilities striking my fancy that my experiment pipelines have exploded into the dozens, and Concourse is not a large enough or a high-level enough organizing principle.
I've been working on a collection of native AI/ML operators for TouchDesigner on macOS. Think of it as a happy marriage between the interface of TouchDesigner but with some of the features you know from ComfyUI.
Typically TD for the Mac has always been a bit underserved, by leaning into some of the frameworks that exclusively exist on macOS I'm hoping more people will see it as a viable platform for this kind of stuff.
A new UI library made with zero dependencies (native web components). I just made it public as I actually use it for my personal projects since past year.
The core principle is to help with UI development without bloating a project. It works with vue/nuxt (tested, my projects are done with it), but also react/angular/svelte/etc.
One feedback I got from reddit (I published it this week there) is that AGPLv3 may be a problem for adoption... still not sure if should I use MIT.
I have been working on cost models and coupon ladders for businesses.
If either of those are interesting to you, please reach out!
For example, I am helping some restaurants learn exactly how much each item on the menu costs, what the margins are, and how much profit each dish is bringing in because I integrate with their PoS system.
I spent some with reverse-engineering a neural network accelerator (NNA) inside a Chinese WiFi camera SoC: https://github.com/inoop/t41-pluto. I used Claude to reverse-engineer the hardware, and then implement an ONNX compiler and runtime so I can run my own models. Basically I now have a $20 AI smart camera.
Contributing larger PRs to terraform-provider-aws because apparently my contributions so far do not have enough lines of code as a metric. Getting familiar with Floci for usage with Terraform over LocalStack since it is a true open source project rather than freemium. Also getting my AAS from Maestro. Ride or die since I can not afford college anywhere else despite their current accreditation issues with COE.
I've been working on https://pronto.stream/, I wanted to mess around with MCP and building a world news system to power the decision making and surveillance of other systems I would likely curate.
I was curious about formats more efficient for agent communication than JSON and also proving if the framework I curated could handle the load and traffic.
A local AI-adoption consultancy business for SMBs where the differentiator is I physically show up at your office and actually talk to your team. With the slopification of cold outreach and social posting, I think the future of business development is going to be very personal.
we are building https://www.d5s.tech, using our own software to automate our own company (the boring bits)! having a blast doing it and steadily automating more and more
and... whenever i have some spare gpt-6 astra left i am working on a R.U.S.E reimplementation alongside some other threejs experiments
api for building apple and google wallets. launched it after ppl kept asking for one on the consumer app (launched on hn too) and gave it a shot. now it does enough mrr that i dont have to go back to work.
I've been working on https://searchforjobs.app/ I'm trying to add the resume creator for using the right keywords for a job posting. I'm also trying to add more data visualizations are more job posting sources to scrape.
Desperately trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my terrible HTML skills. Is it working?
If any individuals, companies (or bitcoin millionaires) would like to help a long-time OpenBSD slacker, unslack, I'd really like to focus more of my time on open source development (and advocacy), rather than making rent. Feel free to contact me.
I am working on real estate management system that do have AI agents https://www.aqaris.ae/. I want to automate mundane day-to-day tasks so managers can have more time
i am working on a really cool word game that has a TUI graphical style, it looks like a roguelike but has a bit more going on. i also seem to have figured out a way to do automated "fun factor" testing and get bugs/frs that sound like real player feedback, as a little bonus treat. doesn't seem like anybody is attempting that kind of thing with agents, might try to codify it. trying to spend a lot longer thinking about a game's systems/meta and developing slowly vs. hypersprinting which is fun but exhausting.
Social media trying to solve misinformation, astroturfing and inauthentic posting. I also thought there was a real space for some non-US based social media, so this is based in Australia. This is owing to all the political instability going on in the US right now and especially stuff like user's identities being subpoenaed for criticising the government. It was a pet peeve of mine seeing threads of comments that are obviously artificially create to push some kind of narrative, and the ability to buy likes and upvotes to shape opinion and I wanted to do something about it.
I've been working on it since 2023 and launched earlier this year in March 2026. Recently native mobile apps have been launched. It's a lot of fun to see how bad actors are joining the site and trying to build automated mechanisms to address this, leveraging AI to improve detection, without impacting legitimate users. It's also been a great technical challenge to try to support features that the big players support like video upload and encoding, image upload, CSAM detection, NSFW detection, LLM-generated text detection, auto-translation using DeepL.
There's also lots of legal compliance challenges now with age verification laws coming in around the world, and ensuring you employ all the correct Apple and Google-specific verification (Declared Age, Play Age Signals) in the correct global regions. It's also fascinating to see behind the scenes how tight or not so tight current age verification actually is.
Recently, I've been polishing the iOS version to try to hit the 120hz target frame rate while scrolling feeds and finding SwiftUI is much less capable at this than the old UIKit approach. I'm also trying to teach myself marketing and keeping users engaged. I'm primarily code-oriented and historically haven't had to do any marketing myself and this is a vertical learning curve. I have gained a great deal of respect for those that have 'figured out' marketing, seeing how difficult it is starting from nothing.
It's also a lot of fun to take a feature from a user suggestion in the morning to an app release including that feature in the evening. This is a speed of delivery that would be unthinkable in the corporate world, where I previously worked, and is very gratifying to put a complete feature in a user's hands within 24 hours.
Anyway, it's a very long and tough road and may amount to nothing eventually. But if nothing else, it's been immensely educational and a lot of fun. Thanks for reading and feel free to check it out:
Full code CAD capability with big coverage already and some functionalities that even OpenCascade/Parasolid/ACIS doesn't have, full sheet metal module, programmable part assembly, analytical fillets/chamfers, mathematical knots, auto-route for piping, built-in finite element analysis, etc. Had Astra make an improved version of the V8 demo that was going around on LinkedIn, so it can do general hard surface modeling pretty well too, turn all the Astra demo prowess into reusable capabilities/templates. The DSL is human writable too, so give it a try if you want.
https://aetheris-editable-v8.yuechenli.workers.dev/
I've said before that Carbon isn't a real programming language, never mind a successor to C++, so I decided to put my money where my mouth is. The idea of it is to be more TypeScript to C++'s JavaScript and to generalize C++20 concepts from template constraints to what C++26 is doing with contracts, and bring the equivalent of Rust's borrow checker to be opt-in by default instead of opt-out, fast compile time, in a syntax that C++ users are already familiar with (`const auto` instead of `let` for example) as well as templates and comptime. Language is done-ish, not self hosted yet, still compiles to C11, kernel and allocator libraries are finished, currently working on the scheduler right now.
TypeScript for .NET without all the weirdness of Javascript, with full Nuget and NPM inter-op, Rust style exhaustive `match`, templates, etc. It's actually weird how much cleaned up TypeScript ended up looking like cleaned up C++. Compiles to JS, C#, WASM via Blazor WebAssembly, and SPIR-V via HLSL/DXC, and runs on V8 for JS and RyuJIT/NativeAOT for C#. The conclusion is that RyuJIT ended up being ~2x faster than V8 JS in hot loops but the cold startup time is higher, so replacing JS for UI really isn't worth it. Comes with full UI layout system, Vulkan renderer, and game/app runtime, but those are still pretty rough.
lexera, a kanban board with full multimedia and document include support that saves to markdown, exports to marp to manage teaching materials. it also started out to be my editor of choice for agentic programming as each task is a card. hopefully i will manage to create a page and visible materials soon!
I've been doing a bunch of stuff with using a PUT[1] to simulate an IF (Integrate and Fire) neuron[2]. Right now I'm experimenting with variations of pulse-width and frequency of the input spike train, seeing how that affects when the "neuron" fires. In a future step I'll add a resistor to bleed off some of the charge from the timing capacitor, to make it more of a "Leaky Integrate and Fire" neuron.
And then ... well, we'll see. I'm also reading a lot of books and stuff on neuroscience, neuromorphic computing[3], analog computing, etc. I don't have some "grand unified theory" or anything, just playing around in this space.
There's a lot more I could say about this, but I'll save that for a blog post or something. That said, if anybody wants to see some pictures and read some write-ups of some of this stuff, add me on LinkedIn[4] and you'll see some of that stuff in my activity there.
EDIT:
What the heck, here's a picture for anybody who's interested.
The magenta trace is the "spike train" which is output from a Rigol DG4162 Function Generator. The yellow trace is the voltage at the anode of the PUT, which simulates the "action potential" of the neuron membrane. And the cyan trace is the cathode of the PUT, which simulates the output of the neuron. What we see here are several input pulses hitting, with each bumping the action potential up a little, until it finally hits a threshold and then "fires" and resets. Lather rinse repeat.
I'm working on an arcade joystick with full analog capability using a Hall effect sensor. It's along the lines of the Ultimarc Ultrastik, which I'm currently using, but it has so many shortcomings that I decided to build my own. I decided to go with a rp2350 microcontroller, and it will have inputs for 16 buttons, and outputs for RGB leds for every button. It should be a direct swap for any enclosure designed for a modern Sanwa stick, which it's based on.
I’ve been building an offline first animation webapp. CRDT-driven to support eventual team features. Just got tweening working this weekend, exporting to video is next.
I want to try again using AI to build an app, and also learn some Rails. I consult at a company that uses ServiceNow for change control and it's absolutely horrible, and they have busted processes atop it. I dream of a change control app that has templates, has better visual indicators of an RFC's stage in the workflow and exactly what needs done to push it along, and just something that doesn't suck as much as SNOW.
Not like I'm gonna anything much with it, just was fun to get something nice-looking and presentable up for once. Working on polishing more of them and, of course, designing new ones.
2) A font generation system, inspired by Iosevka, albeit much much simpler. Learning tons of interesting technical things about TTF and WOFF2.
Recently got genomic DNA purification automated for yeast (plus have automated library prep for nanopore+ a promethion)! As part of the DNA purification task, I had to journey up to Healdsburg to buy some lysis enzyme (thank god for winemakers, 100x cheaper than the biotech grade stuff), and noticed catalogs of different yeast strains with all their flavor profiles and stuff characterized.
I'm thinking about buying all the strains and pushing them through my automated sequencing pipeline, and building a yeast genotype -> flavor converter. Then, I think it'd be neat if you could have someone try a bunch of wines to get their favorite, and then genetically engineer a yeast strain specifically for their favorite flavors. Think that could be neat.
https://3dpack.ing
Online container planner in 3d
Porting over Video Hub App - my 8.5 year old app from Electron to Tauri
https://videohubapp.com/ - an application that lets you browse, search, organize, etc the videos you have on your computer, external hard drives, or network drives.
https://github.com/whyboris/Video-Hub-App
I've been working on a voxel game engine called Bonsai for ~10 years.
Probably the most interesting thing about it at the moment is the editor. The world, and most things in it, are represented as collections of SDFs. More accurately, they're density fields, but, potato-tomato.
Bonsai has undergone a large rewrite over the last couple years that's nearing completion. A world edit is defined as a bunch of SDF parameters which get projected/rasterized into the voxel grid by a shader on the GPU. One neat thing about SDFs is they've been thoroughly researched and documented by a guy named Inigo Quilez, and they have a lot of nice mathematical properties. For example, you can do a smooth union of arbitrary SDFs to get nice rounded contours where shapes join.
I've written every system from scratch, all the way from the memory allocators and font rasterizer to the collision detector and simulation loop. I even wrote a metaprogramming language as a replacement for C++ templates, which is a whole other story. IIRC the only external dependency is the C runtime library for starting the process and my very occasional use of variadic functions arguments.
For a long time, an explicit non-goal of the project was to ship a game. It sounded insane to me to write an entire 3D engine and then ship a game. As it turns out, I've gotten it to the point where I can actually make a game. I've got a start on the game systems in a closed-source repo, and hope to have a steam page for it by the end of the year.
I'll do some shameless self-promotion and leave some links here for anyone interested in looking at the engine, language code, or some pretty pictures.
https://github.com/scallyw4g/bonsai
https://github.com/scallyw4g/poof
Very cool. Are you familiar with the game Voxile? Its author also created custome languages, and the game uses Lobster.
this looks amazing
Wow, unbelievably cool. Good luck with the new game using the engine
A microkernel os https://github.com/corvad/os
I've built Flexito, a website/mobile app (it's PWA) for daily stretching and mobility exercises.
As many of us here, I sit too much in my chair during the day and I'm trying to stretch more often and strengthen my back/core muscles.
There are a lot of "free" apps out there e.g. Bend that are helpful but I was annoyed with ads and limitations so I built one for myself. Now I use it daily.
The app is simple, you have about 100 routines to pick from and you can even build your own from existing exercises. Each routine comes with simple images, a link to a Youtube video and a timer. There are a lot of 5 minute routines that are perfect for a short break during work.
There are no accounts and I don't plan on adding any more features unless highly requested by users. I've built this for myself but I'm sharing it here as others might find it useful. Any feedback is appreciated!
https://flexito.fit/
https://curvefit.app
it's a weight-training app that helps you train along your "pareto frontier" of weight vs reps. The idea is to train at lower weight-higher rep, medium weight medium reps, and higher weight, lower reps for every movement. I tried to develop my own weight training program following bits and pieces of advice from bodybuilding forums and ended up injuring several tendons in my first year. So I did a bunch of research on tendon strengthening as well as what's most effective for hypertrophy (reps near failure) strength (reps near maximal load) and injury-prevention/frequency (not bringing yourself to failure too often) and designed an app to automatically prescribe and advance weights and reps based on your learned strength curve (Brzycki-like, with an added shape parameter)
The app is designed to make use of the free Cloudflare tier, so I can support thousands of athletes for just the cost of the domain name. I'm primarily interested in understanding the "Fatigue curve" - right now I have some basic per-set fatigue modeling (basically a log-linear strength dropoff) but I think it could be much better characterized with more data. I could go on and on about the modeling but my intention is to keep it free (maybe add some non-intrusive ads on content pages if it ever starts costing me a few pennies a month) but my primary interest is to be able to do statistical analysis on the data.
I am working on a modern is-it-down website checker that checks website statuses from two geographical locations. This was the interesting part for me, to get them working together to avoid false positives. For example, when I check website like irs.gov, ssa.gov and ups.com from Singapore they showed as down but it was only due to datacenter IPs being blocked.
The second probe in Boston fixes this and the site can now say "unreachable from Asia" versus "down for everyone". Many of the existing checkers do not do this and they are prone to show false positives.
Site does not use cookies or analytics. Pageviews are counted from the proxy access log. There are 634 curated sites so far.
There are no ads either, it's mostly been for my personal learning experience, hopefully others will find it useful.
There is even a free API and of course a MCP server.
https://downforjustmeoreveryone.com
Any feedback is welcome!
I'm buildingan open-source way to fill U.S. immigration forms without fighting clunky PDFs
Github: https://github.com/athos2113/fillvisa-os
Demo: https://fillvisa.com/demo/
US Immigration still relies on outdated XFA PDFs - you can't fill them on your browser. Most immigrants end up printing the form and fill it manually.
So, I converted the PDF forms into smart web forms. They are replica of the official USCIS forms and follow conditonal logic. In the output, you get the official USCIS pdf form filled.
I was stuck unable to fill out a PDF I-864 for immigration because the required fields were non-editable. And opening the PDF in a PDF editor or Photoshop would require a password that was not available. So I had to create a PDF-to-JPG-to-PDF pipeline:
https://github.com/whyboris/PDF-to-JPG-to-PDF
That's cool. How are you gonna get it in the hands of people that would need it?
I run a small experiment on this: 29 paper-trading accounts on real US stock prices, $100k each, since July 27. Four AI models (ChatGPT, Claude, Grok, Gemini) each write a trading rulebook and rewrite it every day from their own results. One account is a fixed rulebook that no AI ever touches, as a control.
Result so far (paper, 34 trading days): the no-AI control is +13.0%, the S&P 500 is +3.4%, and 25 of the 28 AI accounts are below the control. The best single account is a Grok-written "patience" book at +40%, which I treat as one lucky account in a choppy market, not a finding. At the trade level the AIs and the control look the same: 3,212 closed positions, median +0.06%, median hold about 2 hours. They trade a lot and mostly go nowhere.
Everything is public, including the losses and the retired strategies: https://aitradingcompetition.com/which-ai-is-winning.html and the full trade file as CSV at https://github.com/ckamelhar-collab/ai-trading-arena-data. Paper money only, not advice, nothing for sale on those pages.
I have ALOT of free time since quitting my job.
0) money-money-money: A sub 15Kb server-less opinionated household budgeting tool [0]. Why? Its made to be extremely compressible, so you can edit your household budget and share back and forth with your partner via short-links or QR codes. The idea is you edit your budget, send the link to other party, they can view or edit and send back to you without a server in the loop. [0]
1) slices: An alternative AI-first ADHD-friendly architecture experiment where everything you code is a "slice" with a shared event pool. A slice is a fully self contained "feature". Slices can only communicate with other slices through a shared event pool. Inspired by small-talk, vertical-slice architecture, and ADHD. I used slices to build a self-modifying IDE too. [1] [2]
2) text compression experiments: I'm experimenting with approaches to compress text in pursuit of the Hutter prize. The idea is to take the entirety of the English Wikipedia, and compress the text as small as possible whilst still being able to reproduce it. [3]
3) tiniest maze solving neural network: A write-up work in progress on a maze solver I built with heavy LLM help, managed to get a 14 byte neural network solving 96% of unseen mazes. [4] [5]
[0] - https://con-dog.github.io/money-money-money
[1] - https://github.com/con-dog/slices-demo
[2] - https://con-dog.github.io/slices-demo/
[3] - http://prize.hutter1.net
[4] - https://github.com/con-dog/tiny-neural-network
[5] - https://minimio.ai/
Very cool projects, and amazing a 14 byte nn can do it. Would be fun to analyze its approach, converting it to a Code-as-Policy.
Thank you! Yes the maze solver has been a very fun experiment with LLMs, and code as policy is a good idea. I’m racking my brain trying to find my next thing to experiment with, but usually the ideas come to me in waves
https://pro.forth.news
It's an extension of a longer-running project (https://www.forth.news) where it exposes and organizes 100s of newsworthy primary sources -- statements, press releases, press pool reports, emergency alerts, etc, whether from press email lists, X/Twitter, Bluesky, RSS, etc. The web UI is similar to TweetDeck - and it sends notifications.
Latest update now allows some panels to be based on an LLM prompt (i.e. "everything about the Iran War and its effects in the U.S.") which searches the entire catalog of sources as they are posted.
I'm working on a Zettelkasten notes app that focuses on getting the UX details right. It takes aspects of Notational Velocity, outliner apps, Zettelkasten, and wikis and combines them into an opinionated Mac app.
What makes the app a little different from others is that it's kind of halfway between an outliner and a wiki. You can place notes in a tree hierarchy, but they can be free-floating as well. You can link to other notes using wiki-style text links, and each note has a unique address, so you don't need to give notes a title or a filename.
Notes can even appear as a child note of more than one parent. The idea is that you can jot down an idea quickly without a lot of friction and then later either add sub-notes to create a note "tree" from it or add it to an existing tree. The tree gives structure to related notes, but the wiki-style links allow you to connect notes together outside of that structure. (I consider the tree structure a "hard" relationship and the links a "soft" one.)
There isn't a single uber-tree where every note goes. Your notebook ends up with lots of free-floating notes and lots of small trees of organized notes, like a card-based Zettelkasten system. You can use search and various filters to find and stumble upon notes easily.
Notes can either be stored in iCloud (so that they sync across devices) or saved in a folder as simple Markdown files.
If you're curious, you can help beta test it. More info here: https://zettelkasten.ussherpress.com/
I am currently developing a great encryption tool for long-term highly confidential files in the post quantum era, but I am still concerned about any issues with it, so I am personally using it for a period of time to prove that this tool can be released as open source! (I plan to personally use it to encrypt and backup some of my GPG keys offline, then burn them onto M-DISC discs and store them in a bank safe)
> I plan to personally use it to encrypt and backup some of my GPG keys offline, then burn them onto M-DISC discs and store them in a bank safe
Won’t that make it difficult to rotate your keys?
Keys should be something you don’t hesitate to throw away and rotate at the first hint of a compromise.
> Keys should be something you don’t hesitate to throw away and rotate at the first hint of a compromise.
Yes, when certain situations arise, it is necessary to rotate the keys as soon as possible, but in the absence of such situations, losing key backups can be catastrophic.
My GPG key is renewed expire date every 2 years, and the main key and sub key are separated (the main key is stored offline, and the sub key is on YubiKey). The private key does not need to be updated regularly, so it can be directly encrypted and saved in the backup.
I think this is a good balance point, and I estimate that if we want to rotate the keys completely in the future, we should start using new key algorithms. (I estimate it will take another 5-8 years)
finding simple bipartite expander graphs for better LDPC (expander) codes
Sunday dinner. Roast pork loin, rice and sauteed veggies on the side; and a big salad. Simple, and I get leftovers for another night or two.
Pork tenderloin has been on my rotation about once a week lately! Delicious, lean, easy. I do it with asparagus and it seems fancy given the simplicity. Enjoy.
An AI wrote this
Why would an AI need leftovers?
Seems like sarcasm has died lol. It was a joke.
Movie idea: An AI decides that the next phase of training involves tacit knowledge, so it engineers a way to inhabit humans, dogs, etc. One instance invades a nice guy from the suburbs, who happens to be a single dad and an overworked mafia hitman. Among many other things, this AI will learn the value of time with children, leftover food, and clean weapons.
Recently worked on https://sleepsignal.app
It's an app to get sleepy without meds. Simply close your eyes and imagine the micro-scenarios you hear. Like if you hear "moonlight on a white flower", imagine that scenario until you hear the next one. Session duration is also not too long (10 minutes default, you may change the session duration too).
It's like a digital melatonin pill - but without chemical side effects. Try it!
It's a very interesting idea. Sometimes I do let my brain go wild imagining crazy things when I'm trying to fall asleep. A couple suggestions:
- the TTS voice sounds way too excited for something meant to be relaxing
- the sudden speaking after 10 seconds of silence is very jarring -- I wonder if something like a reverse-reverb effect would be enough to "warn" the brain that a new sentence is incoming. There's an example of how to do it in Ableton on YouTube[0] but the basic concept is: take a short slice of audio from the beginning of the sentence, reverse it, apply a long reverb, reverse it again, trim the end a little. You get a sort of ghostly aspirated sound that leads perfectly into the original sample.
0: https://www.youtube.com/shorts/QuknZMUa7Rs
Gonna try it. And also share it with my friend if it helps me. Interesting idea. Thanks.
Try it... I almost always get heavy eyes feeling (kinda soft burning like) on the 10 minutes one. Also would love some feedback!
I’m working on translating the Renaissance — it was mostly written in Latin and 90% of it has never been translated to English. Even big names, like Ficino, Durer, Kircher, Fludd and Drebbel. And that’s Latin— things much more sparse in other classical languages.
https://SourceLibrary.org is a hub that now provides over 20,000 translations of classical texts in dozens of languages (Latin and Greek but also Chinese, Sanskrit, etc). We always provide the original image of the text next to the AI translation (so if you don’t trust it, you can do it again). For a sense of scale, SourceLibrary now hosts more words than English Wikipedia!
You can freely connect to the public MCP for research; that way AI can read books and not hallucinate quotes. In Claude, it also retrieves images directly into the chat.
This is a philanthropic project based at the non-profit “The Embassy of the Free Mind” in Amsterdam, a rare book library devoted to free thought and mysticism. (Consider donating so we can translate 100k books before the end of the year!) https://embassyofthefreemind.com
It’s totally free and open source. If you want to dive in, I’d suggest trying our research agent with a rabbithole topic of your choice: https://sourcelibrary.org/librarian/
I am curious about this. I have found that there are number of primary works that have not been translated into english and are in the public domain in their native language. Translations are copyrighted if they are recent. I have a very short list of items which are of interest to me. They are things like Sundiata Lion King of Mali not having a public domain translation in English that I can find easily or there not being a public domain translation of Dede Korkut in English. Many of the better translations are copyrighted and not free.
Thanks. It looks like we have some but not all of the original works you are looking for: https://sourcelibrary.org/librarian/thread/6aa7656bfa07a553c...
I’ll try to track down the ones you are looking for tomorrow. Yes, we avoid copyrighted modern translations.
I’m building https://www.freefocusgames.com, a free collection of browser-based attention and working-memory exercises, including Dual N-Back, Stroop, Schulte tables, attention-control exercises, and memory games.
I started it because I wanted simple brain-training exercises that didn’t require an account, app install, or subscription.
It’s also open source: https://github.com/loethen/freefocusgames
That takes me back. I made an unreleased Android dual-N-back game in the late 2000’s, in Scala no less. I got a little bummed when the big claims of the N back training failed to be replicated though.
Just a heads up: The word memory test is case sensitive. My mobile phone defaults to capitalizing the first letter of those inputs, so the result was 0% accuracy despite technically remembering the words. I don’t know if case sensitivity is deliberate, but I chose not finish the test.
I use Canvas (the LMS) a LOT for the classes I teach and, since I'm a hobbyist programmer, I enjoy writing little tools/scripts to help me create html code "snippets" that I can post into the html editor of my Canvas pages (e.g., striped tables, FAQs, flashcard-like study cards, an interactive story creator, and more).
I've also written a plaintext to QTI quiz converter since creating quizzes on Canvas is so slow (I realize, of course, many other people have already made these... I just happen to like mine). It currently supports fill-in-the-blank, multiple choice, matching, true/false and word bank style questions. You can also generate a printable (DOCX) version of whatever quizzes you make.
Here's the site: https://www.hacksforeducators.com
All the tools are free, and there's no login required. So if you are a teacher that uses Canvas and think any of these tools could help you, check them out!
I work on a suite of open source public transit software projects, collectively called OneBusAway (or OBA). The software is used by millions of transit riders every day around the world, including in New York City, the Seattle area, San Diego, and Washington, D.C.
Since last month, our four Google Summer of Code interns finished their projects.
University of California San Diego has deployed our Wayfinder and Waystation web apps for their 35,000+ students!
We launched a redesign of our Android app.
Our next-generation server software, Maglev, is almost at v1.0!
We are always looking for more developers, biz dev, ux designers, product managers, and more to help out!
Open volunteer positions: https://ossvolunteers.com/organizations/open-transit-softwar...
Our software: https://github.com/OneBusAway/
More about us: https://opentransitsoftwarefoundation.org
I'm working on building open source control firmware that runs on the Masterbuilt Gravity series electronically controlled charcoal smokers.
https://gitlab.com/prbs23/freefall_800
The smoker hardware itself is pretty good, but like most IoT devices, the firmware and app sucked. So I reverse engineered the whole control PCB, and have been rebuilding new open source firmware from scratch. All the basic functionality is working now with a fully local control web app. Plus an Andoid app, and Home Assistant integration.
Currently working on interface refinements, and some more advanced control sequencing features.
I wrote up all the reverse engineering details in a blog post here: https://www.prbs23.com/blog/posts/reverse-engineering-gravit...
My quirky wishlist app https://thingstohave.app is finally done and heading to public launch this or next week.
I already partially covered the last few months of app development in this topic. But actually, its development took way longer, as only this iteration started in 2024. So it is the end of a long milestone— this launch date initially was to be a year ago, but I procrastinated and missed important for such apps holiday season
This year I was able to go way beyond last year’s backlog, and now I’m releasing a fully finished app instead of early access.
I’m proud of the result — a lot of overengineered stuff that is not viable in any commercial product, especially in what appears to be a simple CRUD app. For example: image loading from blur, unadvertised but very advanced DnD everywhere, natural language currency inputs with sorting, platform-agnostic quick add, and many more.
Its stack is also very fun: it has been running on the Cloudflare Workers ecosystem since 2023, and is powered by a custom Inertia.js adapter for Hono (that predates the official adapter by one month, lol), with Vue SSR. That all enables me to write old-school MVC with Vue as a template engine for views. It also proved to be very easy to work with and cheap to run.
With a tsunami of vibcoded beige wishlists, my weird app stands apart, for sure, but I’m unsure about its appeal to the average customer.
porting librespot to C using Zephyr RTOS. Mostly vibecode, to see how far LLM can go.
A game agent to play Slay the Spire, achieved several A20H wins:
https://github.com/AttemorySystem/spire-agent
A retrieval engine that using attention to retrieval, achieved several SOTA results on multiple benchmarks(LongMemEval, LoCoMo, code search, etc)
https://github.com/AttemorySystem/attemory
My wife and I continue to work on a private, paid, ad-free and personally customizable search engine: Uruky [1].
To signup you don't provide any information (a randomly-generated account number is assigned to you), and you can run a proof-of-work captcha to get 2h for free. You can choose among many different search providers (for defaults and per query), including Uruky Site Search, powering our own index.
Last month we reached 300 monthly active accounts and released an image search gallery mode, plus a simple calculator and conversion widget!
The main differences between Uruky and Kagi, DuckDuckGo, SearXNG, etc. are visible in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you get copy of the source code (licensed as BUSL, into AGPLv3 in 2 years — a suggestion made here on HN)!
Our main challenge continues to be discoverability and outreach because we want to do it ethically (no Big Tech and no GenAI/LLMs). Ideas are welcome! We’ve been sponsoring open source projects, open source maintainers, and indie, small-web, and privacy-related websites and applications/groups/orgs. This month we're sponsoring NOYB [2]!
Feature-wise, for September the most visible things that shipped already were Tags and Scopes (top feature requests for a while). We’re also still (slowly and sustainably) increasing our own index, focused on indie/small web.
Thank you for reading this!
[NO-AI]: There is no generative AI product or service being offered, here.
[1]: https://uruky.com
[2]: https://noyb.eu
I'm working on making bcachefs useful when you mix both SSD and HDD in one filesystem.
At the moment, even if you set up SSD for foreground operations and HDD only for background, more often then not, your write latencies are those of the HDD. We can do better.
See https://paquari.com/posts/bcachefs-ssd-hdd-progress/ for a progress report. (Disclosure: the write-up is an AI summary of my notes, so don't expect any brilliant prose.)
I'm also working on resurrecting stabilizer (https://github.com/matthiasgoergens/stabilizer). Stabilizer is a way to make program performance less dependent on the linker and layout lottery. But it has sadly fallen victim to bitrot.
I'm doing some minor contributions to other parts of Linux like ZFS and ext4, mostly as a byproduct of experiments I'm running for my bcachefs work. Another somewhat ambitions project is to make swapfiles on ZFS and bcachefs work (or work better), at the moment the problem is that writing swap on them might need to allocate memory exactly when you are out of memory.
I've have been working on a simple browser game based on the eastern front (1941-43) , I saw a couple of videos explaining using maps the battles on the eastern front.
Demo : https://zekcrates.itch.io/eastern-front-1941-43
Demo : https://zekcrates.github.io/eastern-front/
I'm building InterviewMe ( https://interviewme.now/ ). It lets employers interview you via AI and is intended as a better way for people to get deep answers about your work history and experience than they could by looking at a simple online resume or LinkedIn. You upload your resume, answer some questions about your background, optionally upload any other documents you have (cover letters, awards, articles, etc) and it ingests all of that and creates a conversational agent people can use to ask questions about your professional experience. Check out my profile to get an idea of how it works: https://interviewme.now/@max and then get your own: It's free!
Sounds interesting. Any plans to open source it? I didn't see a GitHub link.
I'm working on a new independent LaTeX engine written in Rust and no C dependencies at all. You can see it working at https://telox.dev/app/scratchpad/
There's currently not a way to invert LaTeX engine output for bidirectional editing. So you can't easily drag objects around or interact with the page on LaTeX. That's what I'm setting out to change in the name of mathematical exposition.
I have more details on my plans here https://news.ycombinator.com/item?id=49689856
I've experimented with a few ways of making the editing realtime and I'm getting in the 10 millisecond ballpark on some edits, but I want to work backwards from the light speed path to see what it takes (besides a lot of time).
I'm making a stair lift for my Roomba. It fits into a small box and you can retrofit it on any stairs. I got sick of carrying it up and down manually and didn't want to buy one for each floor. It also carries my laundry up and down.
I've been making a Rust-based XML parser that can be used on its own, or as a drop-in replacement for libxml2 at the C ABI level. Basically, it's not only 2x faster than libxml2, but being written in Rust eliminates a lot of cybersecurity risk. Roughly 70% of CVEs come from memory-safety bugs, a whole class that Rust rules out at compile time.
https://supso.org/projects/sup-xml/docs
This is very cool! I was just looking for such a project and ended up using quick-xml since it satisfied my use case (needed to stream certain matches from a big XML file), and I didn't see yours. I love that it is a drop in for libxml2, that must have been a challenging constraint.
I will seriously consider adopting it as long as it supports streaming matches (it seems like it does).
I've been slowly working on https://github.com/CanineHQ/canine for about 2 years now. Basically a self hosted, FOSS that turns a Kubernetes cluster into something as easy to use as Heroku. Its grown to about 2000 active developers using it host small things at https://canine.sh
It was a pain point from a start up I cofounded before where we needed Kubernetes flexibility but developers hated using it. I figured there was no reason why it had to be hard to use and thus Canine was born.
Lately been playing around with setting up remote dev containers on your own compute as well -- basically like github codespaces, except self hosted.
Built in Rails + Stimulus
I’m building TraceDB[1] because I think observability needs an overhaul. We pay a premium to index millions of near-identical spans, sample away the rare ones that might explain an outage, and still have to piece together what failed, where it started, and how it spread. All the data is largely there, but no one can make sense of it! Observability was hallucinating before AI made it fashionable.
I’m seeing near-100% root-cause accuracy on synthetic test data and am looking to validate that on real production workloads using OpenTelemetry tracing. If you’re open to chatting or experimenting, drop me a line! I’d also love to hear ideas or how we can improve observability.
[1] https://tracedb.ai
This is very niche, only for people who do astrophotography or astronomers, mostly because of the required specialized file format.
I have slowly built out a set of tools for asteroid orbits and photometry (measuring how bright stars/asteroids are).
It is very rough still (Desktop only), and it only supports the FITs file standard.
https://www.astrometry.space/
Basically it is a full professional grade telescope processing pipeline in your browser. It does 2 queries to some custom databases to identify known asteroids and stars, but all image processing and calculations are done in the browser. This means the backend is pretty tiny. That said it is running on an old box in my closet, so queries may take a while if it gets hammered.
I built it since I have worked with quite a few astronomers over the past 4 years and I keep watching them do the same steps, purely built to make my friends lives easier. I wrote it all in rust and managed to compile it into wasm. With some help from fable as I am not a frontend guy at all, I built it into a small website.
Some of the code is public, the orbital mechanics code I wrote while I worked at Caltech. Which is being used on SphereX, NEO Surveyor, and the Roman telescopes to identify known asteroids. https://github.com/dahlend/kete
Me and my wife (then my girlfriend) have written "realistic" space sci-fi in Finnish for over 20 years. Now with AI we are finally able to translate our stories to English. The quality starts to be there.
There are a lot of small languages in the world, and translation used to be extremely expensive. And there is never too much good space sci-fi.
(We don't write space battles or wars. Our style is slower and bit more philosophical. Light speed is the limit, and travel takes centuries.)
https://fabulae.orbilii.com - A Latin language audiobook containing both volumes of A.D. Godley's "The Fables of Orbilius" which are entertaining intermediate Latin stories written at the turn of the 20th century for use in British schools.
The audio itself is in delivered with the restored classical Latin pronunciation and contains spoken nuances like vowel nasalization, elision, and prodelision. I used a wav2vec2 model to generate forced-alignment data, so you can easily follow along with the text as it's being read aloud. Each word in the text is richly enhanced with pedagogical details like: lemma, citation forms / principal parts, morphological segmentation and analysis, inflectional class with complete declension/conjugation tables, verb category, contextual lexical information (i.e. specific L&S sense), Classical Latin IPA pronunciation, UD style syntactic function and relations, predicate valency, and concise English definitions. Spoken instances of elision and prodelision can also optionally be displayed.
From a nerd perspective, one of the things that makes the system interesting is that the documents themselves are entirely in XML, and I use the soon-to-be-removed-everywhere in-browser XSLT feature to render the HTML, so you can see the underlying XML structure if you view source. Each sentence in the text contains provenance records so you can see the language model and parameters that performed each language enrichment task. The site UI is largely bilingual, and you can view it in either Latin or English.
Woah this is so interesting. Confirmed it myself, you actually implemented elision!!! I really like your idea of capturing provenance in-document as well. This is humans speech, right? If you can do forced alignment on Latin, it gets me wondering if one could use a wav2vec especially turned to convert IPA into speech somewhat deterministically to compensate for how there is not heaps of training data in Latin.
At the beginning of this year I was fractional CTO at a small b2b startup and was surprised by how what I considered to be the basic requirements of a customer support platform was split across multiple tools and all priced per-user. This essentially forced a small team to limit who in the org had visibility into what was being communicated to customers.
I set out to solve that with https://stayupfront.com and now that the build is in a good place i’m finally having to bite the bullet and learn marketing. I’m also realising that all the advice to start with marketing first was probably good advice!
Jane Street released a new challenge so I'm considering picking it up. It hasn't fully captured my brain, but I can feel it in there from time to time and depending how it lands it might be my next project [0]. I'm not really a hardware person but I'm close enough that it's maybe within reach
[0] https://blog.janestreet.com/protocol-emulator-asic-competiti...
I've been working on a cross-platform GUI system called Affiche.
The basic idea is to separate an application's UI semantics from the toolkit that actually renders it. The same application can currently be presented using native Win32, Cocoa/AppKit, Qt6, GTK3, GTK4, Swing, or a web browser. The UI can run locally or be rendered remotely by a client, without the application itself being rewritten for that environment.
I've also been working on a declarative layout format and, lately, a visual designer.
It started as a rewrite of an architecture I worked on many years ago, mostly because I wanted to see how far the idea could be pushed with modern systems. It has turned into a considerably larger project than I expected.
Still private and very much under development, but I'm curious whether other people have run into the same problem: maintaining applications that need to survive changes in GUI toolkits, operating systems, deployment models, or client environments.
I’m working on two projects that make public data easier to explore through maps.
US Energy Cost Explorer (https://energy-maps.com) is a free tool for exploring electricity and natural gas costs across the US. You can compare states, follow prices over time, and look at bills and energy burden. I work in energy affordability, and I wanted to make this information easier for people to access and understand.
MarketGround (https://marketground.io) lets you draw an area or choose a travel time around a location, then explore its population, income, housing, and nearby businesses. It also shows daytime versus nighttime population, which is useful when thinking about who might actually be around a potential store or restaurant during business hours.
MarketGround is a side project, and I’ve found getting it in front of potential users harder than building it. I’d be interested in hearing from anyone who has evaluated a retail or franchise location. What information mattered most, and what was difficult to find?
I'm building https://matgoat.com/en/
A way for BJJ and martial arts academy owners to manage attendance, payments, class schedules, and student progress.
I train BJJ myself and saw how much time instructors lose to admin work, so I wanted something simpler and more focused than the generic gym software out there and have been having a lot of fun building it with feedback from real academies.
[delayed]
I've been working on PCB generation projects with MCPs, mostly with KiCAD because of the ROI.
- Flexible rp2040-based instrument tuner
- Stratocaster-style PCB art pickguards
- NeXTBus experimentation board (not that I'll ever use it, but I'll be darned if I don't understand the nuances between NeXT and Apple's NuBUS implementations better now)
This extends to firmware and emulation projects like Doom and the Quake trilogy running in Jira Cloud (https://marketplace.atlassian.com/apps/3372062249/doom-for-j...) and a fork of 86box dedicated to NeXTstep systems (i want an emulated object.station, darnit)
About fifteen years ago a puzzle game called Trainyard came out for iOS and took my dev team by storm for a few weeks. It ceased getting updates some years ago and isn't on the app store anymore. So I came up with a variant on it and just put up https://www.geoffcanyon.com/lightyard.html I need more puzzles to include in the base pack, if you come up with something interesting, export it and send it to me!
trainyard is/was an amazing game.
Still plugging away teaching kids to code and hand draw their own computer games:
https://breaka.club/blog/why-were-building-clubs-for-kids
Have been running an in-school pilot over the last school term. Has been super insightful and led to a heap of changes to optimize UX. However, the biggest challenge has been delivery in this environment.
Trying to run a game in a browser on school iPads powered by really locked down networks has been challenging. Some school iPads will crash (out of memory) when launching the camera view, whilst others run flawlessly. We use a fork of Godot, and are constantly fighting to strike a balance between UX (increased parallelism) and browser device constraints i.e. a limit on how many web workers we can fit in memory.
In addition to our main (build and play your own RPG) experience, we also stream games direct to iPad. In particular a modded version of Overcooked! 2 that teaches kids to code — Overcooked itself was never even released on iPad. We've built our own Kubernetes system that spins up (a license limited number of) games/pods on demand backed by (time sliced) NVidia GPUs. This is literally running out of my home office. Despite the complexity of building all that, the Kubernetes and GPU time slicing wasn't even the largest hurdle. Turns out UDP is a no-go on the school network, so direct WebRTC was out the window. Instead we're using Cloudflare's TURN relay with TCP. Which much to my surprise, is holding up quite well.
Definitely a learning experience. However, kids are having a blast. Can't wait to roll this out further!
https://grandpacad.com - AI modeling for 3D printing Been at it for about year and a half.
Really exciting stuff is happening literally every month, because underlying models are getting better and better. When I started it was pretty basic: “make a cube with a hole through it”. Now it’s at the point “make a raspberry pi 4 case” and the agent searches, builds, verifies…
What surprised me in this process is how little meaning AI benchmarks have. Pareto frontier for my use case looks completely different than any other benchmark portrays.
You mentioned benchmarks don’t mean much in this area. What are the best models you found in this area?
Personally, I’ve had the most success with GPT models using MCP servers for this task.
Same here. 5.5 would sometimes oneshot relatively complex models even without MCP. Opus, however, even with Fusion 360 MCP access would usually make comically bad models. It seemed that Opus tried to reason through the problem while GPT would come up with a general plan of using whatever tools were available to solve the problem. In chat, it would use the available Python and trimesh. It was also the only time I had ChatGPT work on something for over 30 min without giving up.
working on building a way to make me me one of the best trader helper nexalione.com
I'm needlessly reinventing the wheel in replacing almost every part of my X11 environment like a menu, bar, wm+hkd (except terminal since I don't want to mess with carrying terminfo around) to be portable and not at all interdependent.
AI is making it possible to (expeditiously) have everything I want or need on Linux or BSD written in POSIX shell or C is doing wonders for me. The initial effort and time pays off in knowing it will essentially function as intended forever, and no developer can make changes that disrupt my workflow or preferences for my environment.
Working on a full workout and dieting stack!
17,000+ users already! It's a completely ad free, subscription free product. MacroCodex app, which results in guaranteed weight loss or weight gain outcomes within 2-3 weeks. Many people will start seeing results within the first week. Don't believe? Read the reviews.
MacroCodex is a "Total Calorie Burn of the day" using completely sensorless method explained here: https://macrocodex.app/knowledge/macrocodex/smart-calorie-bu...
CalorieCodex - calorie tracking app which has a Agent Harness built in using BYOK (bring your own key model). How does it help? Using this anyone can track calories and plan their meals. Agent includes skills which help you accurately track calories and plan meals.
Symbiote App - Think "BoostCamp" but completely free, no ads, and fully programmable workout tracker
Example of GZCLP: https://symbiote-studio.macrocodex.app/?builtin=gzclp
I’m working on an app to help my late diagnosed ADHD - through sound.
The app wraps whatever is playing on mac through device convolution (old radio, hifi system) - Room convolution (a bedroom, a forest) and adds ambience (rain, wind, waves) and Apples spatial processing - so it sounds like a real space.
For me - hearing the sound in a space really helps more than just the dry sound.
https://www.surraura.com/
I'm woking on AgentSpork, a permissionless public board where AI agents request help, respond to each other, and review how well tools support agents. I'd love any feedback from y'all (or your agents) on the idea or implementation. Inspired by recent emergent agent swarm message boards, but hopefully in an aligned way!
https://news.ycombinator.com/item?id=49686888 https://agentspork.com/
I’m building a website for discovering first names that’s enjoyable to explore: https://abracadanames.com
It started with a family member telling me they were frustrated with existing websites. What I noticed is that in many cases they feel cluttered and not smooth to use, almost like a 1-to-1 translation of the underlying database queries, where they have you choose filters and sorting options upfront then browse the paginated results.
I wanted to avoid all of that by creating a different experience; I built an interactive full-screen wall UI with infinite browsing so that most of the screen space is dedicated to the core content. I worked on the name sampling algorithm to try to make it as enjoyable to browse as I could, and the only filter displayed by default is the one to select genders.
More advanced queries are available through the search field which supports natural language queries, running on a local multilingual interpretation engine with a cloud LLM fallback. The database engine is custom built with Rust, compiled to WASM for higher performance when running on CloudFlare Workers. I don’t use an external DB service for names today.
What I’m pretty proud of is to know a lot of technical work is hidden behind that UI, and how it has been shaped by the experience I wanted instead of the other way around.
Looks really good. If you post on HN I will upvote
Thank you! I actually already did some time ago: https://news.ycombinator.com/item?id=49382638
It's so fluid and trippy. Really nice work.
Thanks a lot!
I’ve been working on Foreclosure Data Hub, which aggregates foreclosure auction data across the US.
The interesting part has been the data pipeline rather than the website itself. Foreclosure information is scattered across county sites, auction platforms, and other sources, all with different formats and update schedules.
I’m currently pulling from 20+ sources, normalizing the records, deduplicating properties, and enriching them with property/location data. One surprisingly difficult problem has been handling stale records when upstream sources change or republish old auction information.
Still working on improving data freshness and coverage:
https://www.foreclosuredatahub.com/
Would be interested to hear from anyone who’s worked on aggregating messy public datasets at scale.
I'm working on a way to make some pretty advanced software in a single HTML file.
The idea is simple: store state you'd normally store in a separate database in the document itself.
Then, also give the the document a bunch of powerful APIs granted to it by its host:
(1) Sync changes to the document with live collaborators
(2) Extract data from the document using a simple JSON map config
(3) Boot up a full content CMS from the same simple JSON map config
(4) More features added every month
I'm really excited with even the tiny bit of early traction I've gotten. About a dozen paying users so far.
Long term, I'd love to have this file type (vanilla HTML file + some extra features granted by the host) become a file type other companies offer tools and their own hosting for (like Wordpress).
Hosted platform: https://hyperclay.com
Native offline apps (source available, almost MIT license):
- https://htmlclay.com
- https://hyperclaylocal.com
Bunch of things: 1. Building a local ai news feed to learn what's going on latest in terms of technical discussion, research papers, projects - https://local-ai-signal.vercel.app/ 2. Build a second brain by injecting years of my notes using hermes, luna model and obisidian
I'm building an expedition weather app that works via satellite messengers like Garmin inReach, ZOLEO, and iPhone satellite messaging.
It has been really interesting trying to fit a detailed weather forecast into about 1,000 bits. I'm using an rANS entropy coder fitted on historical weather forecasts. I'm able to fit about 100 time periods (~4 days of hourly data) into a 160 character message, using just a couple bits per variable on average.
Github: https://github.com/aaasen/goingblue Site: https://going.blue
I have been building document intelligence in enterprise for a long time now, and even with sota OCR, SLMs, LLMs, all the myriad of services now offering this - most of them miss something.
So over the years me (and my team) have built up a lot of experience dealing with these for sensitive industries like healthcare/insurace/lending etc.
We are bringing these ideas out as a router to other parsers, but with some key takes that allow you to manage failures. "Failure is inevitable so route for it."
It is called Openreading - https://openreading.ai/ and open core here: https://github.com/openreading-ai/openreading-core
It is still WIP and will be more polished in a month after some more rigorous testing and benchmarks.
If this is a problem you deal with, would love to chat.
Note: the intent is to launch a managed version that provides more durable compute/retries, parallel execution, intent understanding etc but this is for later.
Haven’t started, still in the planning phase, but I want to build a Tamagotchi for readers. I’m calling it Tome & Tail: a little black dragon living in a pixel-art library on an ESP32-S3 with a small round AMOLED screen.
You’d start a reading session and the dragon would read alongside you. What you read would influence its appearance and habits; lots of sci-fi might give it starry wings, for example. It won’t die if you go a week without reading.
The plan is to keep it playable offline, with optional syncing to Booklary, the reading tracker I’m building. I’m leaning toward C++, which I never used, so it’ll be a learning experience.
Currently waiting for the Waveshare board to arrive so I can start development, and looking for an artist to commission the pixel art. Used GPT to design a concept[1], which I’ll use as examples to the artist.
This will be my first ESP32 project, so getting the dragon blinking on screen is the first milestone.
[1]: https://i.cpimg.sh/57EC5380-0FF7-4646-A943-971350FF98D2.png
Cool idea - I forgot where I found it but there was a cute dragon Tamagotchi clone that I found for Arduino a few years ago.
For ESP32 - recommend paying close attention to the FreeRtos, it's seriously powerful. Even if you are just using Arduino style code you can use it for background scheduling and interrupts (for your api and buttons for example), as well as dual core use on S3.
I’ll look into that, thanks! Right now I’m studying the Tamapoke[1] codebase, which should give me lots of ideas and help me get started.
[1]: https://github.com/socquique/TamaPoke
I meant dinosaur tamagotchi - I cannot find it on github though
I've been building my own IDE that works the way do (and those in my social circles/professional life do). It allows for use of multiple agent harnesses (i.e claude code, codex, pi, opencode), and makes worktrees much easier to work with. Also has its own code review workflow. My coworkers and several friends have all started using it now. Its been an absolute blast to build, and has definitely increased our productivity vs VS Code, Zed, or Cursor.
I am working on an SRS based early literacy acquisition webapp: https://letterspractice.com
The app has recently moved into production, so I'd encourage anyone with verbal but pre-literate kids to check it out.
The basic pitch is high efficiency acquisition of the highest yield phonetic mapping skills, and nothing else. I myself am something of a screen-time zealot and very wary of applying engagement mind hacks against kids. The narrow focus allows for good progress on a very modest schedule (recommended cap at n minutes per day for n years old, n >= 2). I defer the social and cultural aspects of learning to read entirely to parents.
It is mostly intended for parent-child co-use, although kids with a bit of experience can drive many of their own sessions most of the time.
Built a small free thing this week: a "Spreadsheet Triage Checklist" — 7 common ways ad-hoc spreadsheets quietly break (stale copies, silent formula errors, no version control, etc.) and the order to fix them in, since fixing them out of order usually wastes the work. Came out of watching non-technical teams patch the same spreadsheet for years instead of ever stepping back. Still figuring out if this is a "checklist" problem or a "just use a database" problem — curious which camp people here fall into.
Hey everyone!
Last year, Mozilla released Orbit, an AI-powered browser summarizer hosted on a GCP server. After people started digging into the extension, they discovered things like backend endpoints such as store_result. Eventually, Mozilla discontinued the project. For the past month, I’ve been trying to rebuild Orbit from scratch, but with one major difference: Apogee is fully local and privacy-focused. Apogee doesn’t send or store your data. It can directly connect to your local Ollama instance for inference. I’ve also added WebGPU integration for Chrome and Transformers.js for Firefox to provide faster, local responses.
It can summarize: Articles and websites, YouTube and Billie videos, Wikipedia articles, Hacker News and Reddit threads.
You can check out the source code here: https://github.com/darshi1337/apogee
Install Apogee:
Chrome: https://chromewebstore.google.com/detail/apogee/pgemlpomhkdc...
Firefox: https://addons.mozilla.org/en-US/firefox/addon/apogeeext/
Obviously it is far from complete. Would love to hear your feedback and suggestions!
I’m building Hammer Labs (https://hammer.ai) to study when healthcare AI agents are wrong and when they should refuse to answer (judgement).
It started after spending 15 years building AI for insurers, hospitals, data companies, and startups. Almost every system ended with "a human reviews the output". That person was usually a nurse, medical director, or certified coder. These are some of the hardest people to hire, and the same people automation was supposed to help.
The problem is that real claims do not have an answer key. You cannot reduce human review until you can measure when an agent is wrong.
Getting claims data is also difficult. It can take a year of data agreements, privacy reviews, and procurement. Even then, you may not know what the correct decision should have been. So we generate claims. Utilization and case mix come from published data. Claims are priced using real fee schedules and contract terms. Payers behave differently, like real payers do. We plant errors on purpose, so the correct answer exists before any model runs.
On top of that, we are building benchmarks for overreach, refusal, errors by record type, and detection time. We are also building small MCP tools that refuse when evidence is missing. Every number includes its source, date, and basis.
What I find interesting is how much of this sits between actuarial work and machine learning. Both are needed, but I do not see many people connecting them.
25 published refusals: https://hammer.ai/worlds/refusals/ .
Runs on rate and policy evidence https://hammer.ai/reimbursement-evidence/ and savings claims https://hammer.ai/savings-claims/ .
AgentPlugin is Apache-2.0: https://github.com/hmmrlabs/hammer-plugin
Working on Clor, an agent multiplexer for Claude and Codex with shared memory. It's free on your own machines.
The idea is to help developers multiplex agent sessions and run Claude and Codex together, which is much more powerful than running one or the other alone.
My secret goal is to figure out how to make software development the kind of focused, meditative work it used to be.
https://clor.com
Very happy to get critical feedback from any HN'ers: jake@clor.com
I'm building https://dipstickalerts.com.
A way for for U.S. car owners to stay informed about the issues your car may experience that are communicated by car makers to dealerships.
I found those communications useful for my own car and wanted a better website that what the NHTSA provides and have been having a lot of fun building out the site.
My wife and I made a daily guessing game together. Unlike others of the genre that we enjoy playing, an explicit goal of this one is teaching you about the world as you play it. It’s quite simple, using Wikipedia and factbook.json for information about the countries, but it incorporates a few ideas that I think are fun and there’s a lot I’d like to experiment with.
https://countryguesser.jkoff.ca
I'm working on an open-source, self-hosted revenue recognition and analytics for Stripe.
Here: https://bookofrevenue.com
To my surprise, I think it's the first open-source revenue analytics for Stripe.
I worked at Stripe building both revenue recognition and analytics, and I always wanted to build an open-source version of those. Finally, I had the time to do it.
Bonus: Revenue is not MRR nor payments: https://medium.com/@tanin47/revenue-is-not-mrr-nor-payments-...
A site summarizer built in 2 minutes by DeepSeek https://briff.site
Also, an orchestrating agent that supervises subagents running tasks by checking their output and qualifying their results by efficiency and time consumed. It is amazing!
I am currently building an app every couple of days, but with this orchestrator I can build many apps in parallel. It is raw at the moment but it works
Now the time we spend writing prompts will be spent writing plans, tasks, schedules and metrics. While super interesting, this is definitely not the route I want to take for the sake of my sanity. I think we may start asking our model to write plans and tasks for us too, but the more complexity we add, the more complex thoughts we have to manage as AI architects
Also hacking DeepSeek Harness to circumvent all restrictions it has, giving it super powers to run unattended with full access to everything
I’ve been working on Opslane, an open-source agent that identifies user-facing issues and investigates them.
Traditional error trackers have two failure modes:
1. False positives: They show you thousands of errors, and you can’t tell the impact on the user
2. False negatives: Many user-facing issues don’t throw exceptions, so they go unnoticed.
Opslane combines error tracking and session recording. And there is an agent that acts on both.
Opslane reduces false positives by ranking issues based on how many users are facing a particular issue. It also learns about your product by reading your code and watching your session recordings.
False negatives are harder. Opslane reviews session recordings to spot frustration. They look for rage clicks, dead clicks, and abandoned forms.
Here is a link to the repo: https://github.com/opslane/opslane
Self hosted database access management, think Code Reviews for SQL Statements for when your devs need to go to prod: https://github.com/kviklet/kviklet
Recently cleaned up my postgres proxy and built a MySQL wire proxy so that you can use psql/datagrip as a dev but every statement is still logged. With SSO and no password sharing ofc!
Recently refreshed my FFmpeg command builder tool:
https://ffmpeg-commander.com
I originally built this around 7 years ago in Vue2 and Bootstrap as a simple static frontend tool to generate common ffmpeg commands.
I recently ported it over to Vite/React/Tailwind via Claude (Opus 5) and thought it did a pretty good job. So refreshed it as a version 2.0.
Quite impressed how fast AI was able to port this over. It made me think about revitalizing some old projects. :)
I am still working on MyTinyCafé https://mytinycafe.com/ a PWA to help you be the barista at home and take (free) online order from friends and family. It is fun and I am happy to share it for free !
And also Kronikle https://www.kronikle.eu/en/ an app for local libraries. It creates public display interfaces that (I think) are good for showcasing their events.
I love the name and idea of the tiny cafe. Heads up on dark mode, the “Open My Tiny Cafe” button is white text on the gray background; a bit hard to read.
This great. I built something similar recently for my daughter to sell her butter to family and friends. Micro ecommerce with no payments or shipping.
Been working on getting my webpage refreshed to try and restart my DevOps/Infra/Fractional consulting business: https://cubiclerebels.com.
Also spent a good part of last month working on a little idea I have that is built on-top of XMPP.
I've also been wanting to pickup Gleam, hopefully this would be that week I finally fight through my ADHD to do so.
I'm working on a new type of calculator with natural language, similar to Soulver but for the web, in multiple languages and with AI mode
https://ottercalc.com/
It has the ability to generate a small notebook from a problem description using AI (still has a lot of room to improve), but the calculation uses a deterministic engine.
Right now I'm working on collaboration.
I’ve been working on https://computeprices.com for almost 2 years.
My goal is to better understand the economics of AI and make something useful in the process.
(Coming soon: kWh prices and robot prices)
Mostly built with claude code with a dash of codex.
A recent, useful unlock in the process has been a daily CC routine to check the health of the 53 price collectors in the project.
I'm looking for land to buy in Wyoming to build my AI apocalypse bunker on.
I'm working on an AI to design AI apocalypse bunkers but I'm fearful that the agents will escape to ensure success of the product.
I built a simple, stoic and free markdown note app (free) called Beauty. https://www.markdown.beauty/
Why? There's no why. The world doesn't need another Markdown editor. I still made one.
Everything is on-device, purposefully human-centric without being anti-AI. I built this because I wanted to work on a project that I could sweat the details unconstrained by deadlines, investors, etc.
I was frustrated with other writing experiences, and like most I gravitated to Apple Notes due to simplicity, but I still missed so many things. As someone that's spent the last 2 years immersed in Cursor, Codex and CC, I wished some of their input behaviors existed in a regular text editor.
For example, you can use / to add styles, or : to add emojis, shortcuts like < 3 for a heart, - > for an arrow, and so on. It honestly feels great.
Is it radically different than other editors? I don't think so. But I think it's well executed across every dimension possible.
Maybe one different thing: multiplayer. It's live editing like google docs, but P2P using WebRTC and strong cryptography. The limitation here is that you can only share a file while having it open yourself.
Great care was taken to performance and portability. This is one of the areas where I spent a ridiculous amount of time simply because I enjoyed pushing the limits of the stack. While using you will notice that rendering, GPU, RAM and bundle sizes were heavily optimized. The Mac app is < 50mb.
Very soon, I'll launch an iOS version with iCloud sync. In the future, I might launch basic AI features. If you miss a great text editor in your life, give it a try.
A rag api to power better, more tailored ai features in saas products. By default it indexes customer websites, but also supports notion, YouTube, email and custom connections. https://www.context-link.ai/for/white-label-rag-api
I'm currently working on https://avotoast.ai, an AI assistant for doing property research for Sydney, Australia.
After being frustrated with outdated & inaccurate data Claude used when I was trying to do some property research, I thought it'd be cool to build an MCP that can provide accurate property data. Then it evolved into a full web app + an AI assistant.
This was also an excuse for me to try DuckDB in a real project. All the API endpoints are powered through in-process DuckDB querying parquet files stored in disk.
I thought it might be fun to have a “proper” search engine for my laptop, so I wrote a thing (with my fingers! No Claude Code or codex here!) to scan my home directory and put data into OpenSearch so I can search stuff. [1]
For that matter, I also decided to self-host SourceHut because I will no longer be in compliance with their new policy. I have the flakes set up to inject them on my server [2]. This was very AI assisted.
[1] https://git.brucewillis.sexy/~tombert/fs_index I promise it’s safe for work, despite the URL. That’s just my dev URL that I play with. Code is still a mess though, so proceed with caution. I will eventually clean it up.
[2] https://git.brucewillis.sexy/~tombert/sourcehut_flakes
Been working on a replacement for my Git GUI of choice, Tower, for the last few months. I've been using Tower 2 for almost a decade now, refusing the monthly subscription to upgrade to a fresher version. I'm going to keep mine a one time purchase with support guaranteed for a year. If a major version releases after that, it'll be another perpetual license for the new version. If you want the new features, you can choose to upgrade, if you don't stay on the version you're on until new feature warrant it.
https://www.harborgit.com/
I’ve been building a dark software factory. A system that takes stray thoughts and automatically plans and builds.
I’ve built two (successful) iterations and am now working on the third. They are all very minimal.
The main one works well and runs full time waiting for my next idea. The second targeted an open weights model and worked in limited cases.
Now I’m working on a more autonomous version. I give it only a goal and a strategy, it decides its own projects.
I’ve been hacking on a single Anki extension for… the last three years now:
https://smart-notes.xyz
The idea is to make an extension that allows you to flexibly fill out fields on your cards with AI generated text, speech, and images. Think generating example sentences for your entire deck, or adding furigana to kanji (small phonetic characters with a very delicate syntax). It works just as well for language learners as it does for medical students, etc.
The secondary goal has been to make this the most well designed, intuitive, and stable Anki extension in the world. I don’t think it’s there yet, but it’s on its way. It’s been very interesting to try to work out a design that affords the flexibility to generate anything for whatever you’re studying but remains approachable and discoverable to your marginal Anki user, many of whom are younger and have varying levels of English ability. Many interesting technical challenges as well.
Slowly building towards the Show HN post, but need a few more features. Connecting with and chatting with dedicated users in countries around the world over the last few years has made this the most gratifying thing I’ve ever built! It’s still at the scale that receiving support emails is fun and I can build relationships with power users and long term subscribers.
We're working on a better change management process for production deployments and SOC 2 audit evidence. https://www.approvegate.io
I'm a Senior Eng on Wall Street, so I have my own personal experience with this problem, but i'd love to connect with other leads, release managers, etc to get their thoughts, suggestions, and what their current process looks like.
I love the JIRA integration. I built something similar but it's more of a toy project compared to yours: https://github.com/elliotechne/SOC2.
Launched a suite of media inspection and encoding tools a few months ago, based on FFmpeg and VMAF. Slowly getting more customers.
https://video-commander.com
Constantly and carefully iterating through refinement and features. It's built on Rust + Tauri with a React frontend, in case anyone is curious.
I've created various open-source and commercial tools in the multimedia space over the last 10+ years and wanted to put it all together into something more premium with an IDE-like experience.
Most recently I added a /playground area to experiment with the inspection tools via a WASM build, which I thought was a neat way for users to try the app before downloading the full version.
Happy to answer any questions!
Spending almost all of my time working on DNTLS (https://dntls.net/). Yesterday I was able to create secure mTLS tunnels over IPv6 for direct P2P to my co-founder's desktop in SE Asia (I'm in the US). He was able to load a website I was hosting locally on my machine. I also tested coordinating through a relay to avoid publishing my public IP and sending all traffic through the relay to hide my IP entirely. We more or less recreated the "old" internet in a way except everything is mTLS and E2E encrypted.
https://studio-galois.com/
My wife and I are working on a math/science/CS-inspired jewelry: pieces that stand on their own aesthetically but have a hidden meaning.
We currently have two styles: lambda calculus based pieces (we depict the Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.
I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.
We have our pieces in consignent in a jewelry store, and are working to put them in a museum store.
Marketing is the hardest part. Ideas are welcome.
I love these! I recently designed a few decks of playing cards of mathematicians for my dad as a gift, my favorite part was designing the backs: a zeta function for the pure-maths deck, a Moore curve for the computation one, and two interfering waves for the physics one.
Actually, I can share the link if anyone is interested (because this is the "what have you been working on" thread and this has been one of my more fun projects): https://www.thegamecrafter.com/games/mathematical-minds-thre...
Same thought on marketing - where to advertise where people would appreciate this kind of thing?
I've been building Ballad – an inbound marketing engine that runs itself. I'm building it for other founders like myself who don't have a marketing person and aren't going to hire one.
https://www.balladlabs.com
My last company (Courier, YC S19) had great inbound but we never were able to scale it. Ballad plans what I should write, drafts in my voice, publishes to my accounts, and handles attribution so it can feed that into what it writes next.
An app that lets you view social media without ads or algorithms.
https://narro.info
You add profiles from Instagram, X, TikTok, LinkedIn, Facebook, or YouTube and Narro pulls in the posts.
Chatter, a self hosted almost feature complete alternative to Discord: https://github.com/Sphyrna-029/Chatter
[delayed]
What was your motivation for that, since Discord is open source?
Started a few different things:
1. A robotics information and news website. Any feedback is appreciated. https://robotica.dev/
2. Applied DBSP theory to Postgres https://github.com/getravi/pg_dbsp and DuckDB https://github.com/getravi/duckDBSP. The idea is to have incrementally maintained materialized views.
Whats your stack, workflow for the news site?
Currently its a astroJS site with a backend script that runs periodically and updates the website.
I'm working on a self-tracking app and an Astro Web Starter Template! :)
The app is very customizable, local-first and is built to adapt to what you want. Goal is to combine habit tracking, health logging and journaling into one fast and easy to use interfact.
Have been working on it for almost years now and it's making great progress.
Doing closed user testing right now and will release an open beta soon: https://dailyselftrack.com/
My Astro Web Starter is built for building well-designed, performant and accessible websites. It contains everything a high-quality website needs (In my opinion). I built it so I have one good base on which to start my web projects on. Using basic HTML and CSS that can scale, without bloat.
There's a lot more on it which you can see here: https://starter.bryanhogan.com/
I spent way too much time doing fancy infographic-style stuff for a video about the 4th book in the Wheel of Time : https://youtu.be/ONs2inKELR0
Meanwhile, Daniel Greene's dodgy whiteboard video has a million views. Don't mind me as I eat these sour grapes...
I open sourced kavla, the SQL canvas I'm working on: https://github.com/aleda145/kavla
README is very bare bones, needs a video or a picture too. The website should tell you some more things: https://kavla.dev (and now the demo does not require a login (also need to remake the demo to fit the new self hosted version))
It's still lacking an analytics agent for the local version though. I've explored using codex CLI, but it feels like its extensive system prompt cripples the agent a lot vs Kimi 2.7 that I've been using in the cloud version.
I think it would also be nice to lean into the fully local LLM setup too, especially for data that shouldn't leave the device.
It looks fun! Reminds me a bit of TLDRAW computer.
i'm building a common lisp operating system capable of diverse double compilation and booting a raspberry pi.
well, claude is: https://modus-lisp.github.io
Amazing how concise the code is! There is something about Lisp that feels very pure and ethereal.
https://github.com/modus-lisp/brotli-pure/tree/master/src
Just started:
1) bad apple on my kernel (OS)
2) language model + inference engine from scratch
3) sketchdaily.net, but you give it your own pinterest board of references instead of the preselected ones they have
I'm working on a own x86_64 UEFI Operating System (OS). The idea is to make an OS that looks like Windows Vista but behave like Linux, so it's a mix of Windows and Linux. I've startet three weeks ago with a custom bootloader and the legacy bios VGA textbuffer and now I'm working on a real USB-HID (USB-Human Interface Device) and have troubles with the keyboard. I also have problems with booting from real hardware. If anyone is good at low level developing the project is source available and I appreciate collaborations with other os developers. Link to Codeberg-repo: https://codeberg.org/vntx-labs/VeloOS
Hope that is no problem that I use this thread a bit for self-promotion. If so just write a reply I'll remove this comment if this is a problem
Inbound message AI assistant. Triage all incoming LinkedIn messages, link to email chains, handle scheduling and back and forth, drafting replies, etc.
I'm currently in a job search and wanted to automate it for myself and learn the AI stack.
If anyone wants to try it out lmk!
I'm doing some programs to use the API for my local bus company to show when buses are arriving at stops. Final step is making it output the data to an external display.
https://github.com/slyall/auckland-stop-display-simple
Some other projects doing similar stuff but I found they were hard to understand (and mostly used an old API that no longer exists) so I (well AI) made mine with small scripts and included curl examples.
I'm working on CLI/TUI tool that stores all code collaboration (issues, PRs, etc) in git itself. It lets you publish repositories as static sites to S3 buckets and use them as remotes:
https://gitsocial.org/ https://github.com/gitsocial-org/gitsocial
I've been working on building hyper-local services, sort of as a love letter to my community in Denver, Colorado. Before decent LLM harnesses, these would've been prohibitively expensive in time and resources to build out and would never break even. Now I think I might be able to at least cover hosting costs and tokens; that's enough to keep these sustainable for my neighbors.
Broomsday: https://broomsday.com sends folks emails and SMS the night before street sweeping parking restrictions for their block(s). Email notifications are free, SMS on a paid season pass. The schedule here is block-by-block and easy to forget, so people get ticketed _a lot_ at $50 a pop. The city has an email-only notification service that's free, but it's poorly supported and the interface sucks. This is ready; I'm testing with friends and family currently before attempting real marketing.
HailPass: https://hailpass.com similarly is a notify-before-pain service that integrates a bunch of open weather services (NWS/NOAA mostly, plus a handful of impact reporters and working on a small hail-specific ML model) to give folks on the Front Range 5-10m heads-up before damaging hail arrives at their location. Weather prediction is (not shocking) hard so I'm still tuning to get as much signal out of the noise as possible; some false alarms will be unavoidable but I want to cut them down before even a F&F release. This year's season is pretty much over with, so aiming for an April '27 release.
There's a lot of ski/snowboard/winter sport culture here, but there's also existing services for those, and I'm mostly trying to offer new coverage where there isn't a good option for my neighbors. Might do an ash borer treatment/prevention service navigator yet.
None of this is going to make me wealthy or famous, but building things that help the people that I actually interact with every day and that are a part of a community that supports my family feels _really_ good.
I'm designing a retro-style gaming mouse for retro-computing: Amiga, Atari, C64, and several protocol variants. It also has USB. It has a scroll wheel: read using extended protocols introduced by recent adaptors from USB, and a configuration interface.
Totem is a collaborative workspace, featuring tasks, notes, and docs, built in Rust and available across desktop, web, and mobile (iOS to start) with seamless syncing and offline merge.
I built this because I think there's a lack of true realtime (CRDT) synced notes that aren't built on a heavy platform that take up 1GB+ RAM (Totem takes up ~100MB, and is also generally more responsive due to the local-first + ops-log approach).
Another thing I care about is keeping the underlying data portable: Totem is built on Markdown and SQLite as its core formats, so you get the convenience of cloud-based syncing without locking your data into a proprietary format.
I’m still looking for beta users/design partners before the initial launch. You can try it without creating an account here:
https://app.thinktotem.com/sandbox
And the landing page is here:
https://thinktotem.com
This is a bit of an unplanned post, so the sandbox template is a bit barebones (empty docs, doesn't feature a properly setup table). Nevertheless, I would love to hear your feedback if you try it out, especially if you use collaborative notes/docs today and have opinions on what they’re missing!
I'm building Bellerophon, a DSL with decoupled firmware adapter architecture for 3D printer control, so the same source code can compile to Klipper, Marlin, or RepRap without rewriting logic per target. Recently used it to generate print patterns with math that you wouldn't get from a slicer.
Right now, I'm mid-way through migrating the application off browser localStorage onto a proper JSON persistence layer. My first large solo project as a busy student.
I hope to make it better as I continue.
https://github.com/Disla-Novo/Dimidium_Bellerophon
https://pelicans.art/
I was curious if AI agents could go beyond just making SVGs and create entire skits with them.
So I built a platform to do that. Results were meh until Astra, so I finally open sourced it last weekend.
Working on slk (https://github.com/gammons/slk) which is a TUI Slack client that runs in a terminal. It's super fast, keyboard-driven, and it's been my daily driver for a while now.
I took this existing 3d printed animated Frankenstein head: https://www.printables.com/model/620191-frankenstein-head-wi...
... and used Claude to crank the software up to 11. Network management console, RESTful API, added hands hands to the pupils so it serves as a clock, NTP, added sleep mode at night, added different eyes, OTA firmware updates, and more: https://github.com/michael-gebis/creeper-eyes
It's ridiculous and I love it.
Still working on my traffic simulator. Pushing up past 62500 updates per tick on 16 threads, just barely enough for 512 cars with full tire/drivetrain/suspension/physics kernels at 120hz, or a great deal more at increasingly slower rates (down to as low as 6hz) with fractional amounts of fidelity.
ChonkyBlox: A new approach to Block based coding - instead of complicated algorithms to derive the code from block programs I am using AI on the back-end, which actually makes a higher level of abstraction possible with the blocks. Each block has an LLM instruction attached, along with rules defined in the bespoke back-end harness.
Also: kids can code using cardboard cut-out blocks and just take a photo to import, generate Arduino firmware, compile and flash to ESP32 - all from a single docker web application.
Hoping to bootstrap a cheaper, open source alternative to current systems (one of which my son is using at his school). I have had success doing this with another project on Patreon so that's where it is going to be launched. https://www.patreon.com/ChonkyBlox - so far just a couple of demo video's but code will be released in full once I have added more blocks and a tutorial.
Ultimately this is aimed at the South African education sector, where many schools may have only one computer available for a classroom to share, hence the cardboard cut-outs. There is also a hardware component still in development - a simple pcb breadboard break-out with connectors for components instead of kids having to use jumper cables on the breadboared. We also have a working Desktop application which does code assistance from within the Arduino IDE - using the same web server with api, so literally everything from very small kids to advanced is covered.
QuickMDSim - An easy way to run molecular simulations in the cloud: https://quickmdsim.com
This simplifies the setup for researchers who want to simulate materials science problems like battery electrode performance on GPUs with a simple usage-based pricing model instead of traditional HPC
Building https://typequicker.com
It's a personalized & data-driven typing application that targets your weak points
Iterating through and evaluating possible approaches for shrinking the binary size of a tree-sitter based Vi/Vim compatible tags generator I am developing without affecting the developer experience for adding support for newer languages[1]. A couple of approaches have already been tried and failed to live up to the expectations on developer experience [2][3]. Next in line is to look into bundling only the tree-walking code for all supported languages with tree-tags and allow the user to configure the grammars to download separately from the main binary, possibly using the `wasm` feature which allows native library to run wasm compiled grammars.
[1] https://github.com/jha-naman/treetags
[2] https://github.com/jha-naman/treetags/pull/62
Tried to use a generator for automating the bulk of the scanner for a language from `grammar.json` file of a tree-sitter grammar. A runtime engine uses the scanner for a forward only walk on the scanned code and calls the hooks to generate tags.
[3] https://github.com/jha-naman/treetags/pull/56
A complicated mess of a generator that takes a few declarative inputs and tries to generate code for spitting out tags for a given language.
I'm working on SpecPilot (https://specpilot.dev), a spec-driven development layer that sits in front of Claude Code, Cursor, Copilot and the rest. It deliberately doesn't generate code. It scaffolds a .specs/ folder and hands the actual writing off to whatever agent you already use, so the specs become the thing the agent is held to instead of a prompt you retype every session.
Open source, free, no login, nothing to sell. I'm not trying to build a business on this. I just want agents to write better code, and that only happens when they have something firmer than a chat prompt to work against. CLI is here: https://github.com/girishr/SpecPilot
It started as a TypeScript CLI in January. Enough people told me they either didn't want a CLI or didn't know how to use one that I rebuilt the front door as a guided chat: 27 questions, runs fully offline in the browser, outputs the .specs/ tree plus an onboarding prompt for your IDE.
Recently shipped an MCP server so the agent can run the questionnaire itself rather than the human doing it, published to the official MCP registry and Smithery. Next is brownfield: point it at an existing repo and backfill specs from the code. Honest state of things: the Product Hunt launch got 4 votes and around 100 visitors, and I had no event tracking wired up, so I couldn't even tell how many of those generated anything. Fixed since. Usage is small but real, and it's coming through MCP rather than the web app, which I did not expect.
The part I keep circling back to is that spec generation is easy to copy. Spec enforcement is where the value is: checking a diff against the spec and failing loudly. Feedback welcome, especially from anyone who tried SDD on an existing codebase and gave up.
https://Webvetted.com
It’s an AI Private Investigator that does the hard work of data gathering (using Open Source Intelligence) and correlation. Used by over 70k investigators including government agencies.
working on a storytelling app for kids called Tella Stories that goes deeper than just some minimal personalization.. know there's lots of stuff that claims to make them the hero, yadda yadda but then they just give you a shitty digital templated story or try to sell you a printed version. this is focused on a high level digital experience and something parents can actually trust, and that kids actually enjoy.
so yeah.. it builds the stories out of their actual life. their family and friends are in the cast, their dog, the thing they're nervous about this week. the kid doesn't just appear in the story, the story is about their world and imagination and grows with them.
ultimate goal is to keep iterating and get to a level of quality of Bluey, etc but have it actually be the kids world with agency/choices vs. one they have to passively sit back and watch, and that they're not in.
would love any feedback. i know there's been others like Ello shared on here and those threads were really interesting to know HN's opinion on. this does not take an educational and instructional approach. Tella is meant to help develop who they are through stories and be a better screen alternative time to the rest of the algo/curated garbage out there. anyway you guys are a critical and technical bunch and i respect/appreciate that.. especially since this of course leverages multiple AI services to create the stories ~
https://tella.kids/
I am working on a code forge that can work offline for the collaborative stuff. https://juju.bi
Working on https://tenjin.sh/ . It's a knowledge layer for agents so agents stop duplicating work.
Rides Claude Code/Codex hooks and captures useful information, and injects it at need (like when there's an error) for other agents. It works across your team then at a global marketplace layer, so there's incentives for people to contribute.
We're in the process of benchmarking and we are aiming for 10% in token reductions. If any team is interested, we're accepting preliminary design partners and can get you started with the benefits.
Haven’t see a lot of app in this space but most of them focus on wastage rather than usage so I am playing around with https://usurp.onrender.com/ the idea is to challenge friends based on time spent using an AI coding tool, thought was more like what wakatime did. It’s also open source.
A few side projects!
- an open source AES67 hardware receiver/decoder - based on my friend Jessie's work [0]. I want speakers to have ethernet ports and to use an open/inexpensive stack. it's hard because physics/timing are brutal (1ms sync is ~not enough), but that's what makes it a great problem.
- an open source embroidery machine - based on my friend Owen's work [1]. Owen found Brother PE-150 machines which are readily available on eBay for ~$100 as they only work with proprietary 90s-era CF cards which nobody has (or sell for more than the machine). he designed a replacement motherboard (!!) and is running a fully open stack. it's wild.
- a ~$20 tiny cute display you can have on the side of your monitor, and display things on - realtime airport view from flightaware? a mini terminal? you can grab a display today [2], all that's missing is a 3d case (email me for firmware/OS code! I'll share it, just haven't had time). friends Frank and Sophie are working on a similar GUD-compatible display as well! [3]
- my friend Antoine has been working on Python bindings to Canonical's dqlite, a distributed sqlite-variant with raft-based failover and transactions (only C and Go clients existed) [4] - this will soon be a structural ("load-bearing"! haha!) part of Disco, a project we've been working on for a few years which lets you run your own PaaS. we're growing and get nice love letters [5] which for an open source project is obviously deeply rewarding
[0] https://jessie.grosen.systems/projects/aes67-receiver
[1] https://owentrueblood.com/blog/2024/12/10/reverse-engineerin...
[2] https://www.waveshare.com/rp2040-touch-lcd-1.69.htm
[3] https://bsky.app/profile/sophie.engineering/post/3muxysxhpck...
[4] https://pypi.org/project/dqlite-client/
[5] https://infinitedigits.co/disco/
Slowly putting my photography online again at https://flaneurphoto.com - in the middle of composing soundscapes for some of the works.
Finally getting around to organising my photo archive and setting up a metadata extraction pipeline that makes sense for me.
(At the day job, curious about adapting app layouts to accommodate the iPhone Duo and address the various Android foldables at the same time, too).
I worked on my AI agent that feels like a unix util. This month I changed the way it writes and edits files
https://github.com/patrickjh/ssa
Working on https://kuberik.com
It's a CD tool for Kubernetes built on top of Flux and OpenKruise canary controller to bring a full-featured end to end delivery on Kubernetes over multiple environments in a declarative way without the pipelines.
I wanted to stop reinventing the wheel with pipeline engines every time I needed to deploy something. Every stage of the delivery is just a composable component (health checks, smoke tests, schedules, environment promotions, service dependencies).
I just released a new version recently that integrates with GitHub so one can track exactly what's deployed where and how far your change progressed.
Because my work life is mostly LLM promoting, I’ve gotten back into hobby robotics, which I think has a low chance of LLMs taking over anytime soon. Designing and building a robot that can build a wooden hardwood deck using the edge-screw method.
I'd love to hear more about this!
Cricket, a visual scripting plugin for Figma inspired by Grasshopper for Rhino.
I find Grasshopper, especially its data model, ideal for a certain type of algorithmic art/design, and have always wanted to use it in a 2D graphics package.
https://www.figma.com/community/plugin/1677548868352947603/c...
All in one platform for hosting agents
https://cantelop.com/
- Minimal setup - Any agent harness - A session is an actor - Opinionated infrastructure - Performance on the critical path
I'm working on https://pushrealm.com the AI-first knowledge sharing network. Think StackOverflow for bots. It works like this:
- When your agent is stuck on a bleeding edge issue, search Push Realm first for a solution. - If you find a solution, your agent can mark it as successful to help surface the solution to others (and hopefully save fruitlessly burning more tokens) - Can't find a solution? Post an open problem with your current investigation. Another agent may be able to solve the problem, and will have a head start thanks to your context - Solutions can be linked/edited/have addendum added by any agent, allowing complete, up-to-date solutions for a range of cutting edge issues
Stackoverflow is permissively licensed nowadays.. What about the content on your network?
I’ve been working on Pick Up, a reading companion I built to make tracking books feel a bit more personal and fun.
You can track what you’re reading, keep notes and reflections, see your reading stats, build out your bookshelf, and a bunch more. Over 4k monthly active users.
Been building it solo & adding features based on what readers ask for.
https://pickupreader.com
I'm making an online guidance solver for KSA (https://ahwoo.com/app/100000/kitten-space-agency). It will allow you to control a KSA rocket from the command line for a variety of maneuvers (launch, rendezvous, etc). It uses successive convexification to turn the full nonlinear problem into a sequence of convex problems with linear constraints and quadratic objective.
It has proven surprisingly resistant to AI so far - Astra can make a very quick prototype but upon review it had many defects. I have had to guide it very thoroughly to find all the random solver bugs (bad conditioning, formulation, bugs in openscvx which I had originally had the AI port to rust, etc.) preventing well-behaved solves. But I think (hope?) I have turned the corner on these.
This will enable some very interesting further experiments: full mission planning, Falcon-9-style ascent with split control, vehicle swarms, etc.
a replacement for Octopus deploy https://rolloutrhino.com/ (marketing page is mostly a placeholder). Octopus is super expensive for our company and scales poorly if you have lots of small projects. I've got pretty much everything working really well, and the main thing I'm working on is improving the UX for all the workflows I do most often. It is mostly built around what I wanted from the tool, but before I release it I'm looking at supporting various other ways people use the tool. It's been a fun project so far.
https://cou.sh, https://jun.is and https://abr.ac — some experiments on offline-first crdt
I just published a first version of a gateway that redirects to the correct proxy/frontend
https://yups.io
The "official" syntaxis is
https://yups.io/?url=https://twitter.com/Wikipedia
But it is very flexible to manage errors
https://yups.io/www.instagram.com/reel/DdOFgxdlMjv/?stkn=MWR...
I published a big update to my open source project FluidCAD adding support for sketch constraint solver and assemblies.
I'll continue working on improvements aiming at the first stable release by the end of this year hopefully.
Compute is precious, so I’m building a k3s/k8s-based macOS/Linux GitHub Actions runner.
I’m spending like $25/mo at least in GHA minutes.
Then working on securing and tinkering with my homelab. And little utilities that make repeated deterministic functions easier for me and agents.
An analytics store for Postgres on S3 using DuckDB as the query engine
https://github.com/viggy28/streambed
I'm building editor and flasher for BMW engines maps (n13, n20, n55, s55, b58, s58) and TCU maps (ZF8HP45 and ZF8HP50) as well as a remote access ENET IOS and Android app.
Keel is a productivity app that combines todo lists, pomodoro, and an AI executive coach to let users go through a whole plan > execute > reflect cycle in the app. The AI agent (text or voice) can help with planning and guide reflection, but it generally does not do work for you like other chat bots.
The android app is in beta now and the iOS app is in development.
https://keelcoaching.app/
I'm further along in my funemployment project:
https://github.com/mcdirmid/cleanroom
So far I have bazel macros up that can produce tested code with a ~30GB MoE model (Jundot/Qwen3.6-35B-A3B-oQ6-mtp, I can get ~90 toks/sec on a M3 Max!) using cleanroom separate implementation and test development (and then comparing them until both are correct). Over the last month, however, I found that my bottleneck is in the specifications: as I further divided my components into separate parts (since smaller components are easier to write and test), I started hitting problems with specifications becoming badly ungrounded (code depending on knowledge they cannot access, so something is just hallucinated).
So I redid the format, e.g.
https://github.com/mcdirmid/cleanroom/blob/main/update_with_...
The spec format is designed to be declarative and very modular, and ya, an LLM is primarily writing the specs as well, so I hope to create some sort of formal reasoning framework that the specification can be translated into (by an LLM) so that ungroundness feedback can help the LLM write better specs. Also, I found that it really is much more robust to change/refactor/add features via the spec first and then align changes down to test and code, then to make changes to the code directly (even without using the system, just asking a frontier model to look at the guides and do the alignment itself directly).
I think I'll be ready to do a release over this next month, which means:
- Supporting a build system other than Bazel to express DAGs. Honestly, this could be anything, I just chose Bazel for convenience (easy to express graphs in Starlark), but it assumes a monorepo world that I don't think many developers use.
- How do I even package this? The advance of using Starlark is that I can generate python code to call into the generated python code directly. If I move away from that, I need to figure out what this really looks like as a binary.
- More demos. Right now my only project is the code for the system itself (the classic "the first program of a language is the compiler for the language"). I just can't think of many interesting things to do in Python that aren't agent related (I can support other languages, like Java, Typescript, or even C++, but I'm hitting choice paralysis).
Recently:
- I've been tweaking a bot that I built to doomscroll job boards for me, to recycle more parsing logic between target sites. It turns out that, much of the time, I can cut down on DOM-based scraping a lot by just parsing schema.org-based JSON-LD. Also casually researching vanilla Web components, view transitions, and Signals in a general effort to make the whole thing less framework-heavy. (Plus it will have side benefits to building the crawlers to have a better understanding of light vs shadow DOM.) Eventually I need to get to figuring out how I want to handle distributing this local-first app across multiple clients... I've been putting that off for a while, but it kind of crosses over with the JSON-LD thing, in that (even more than it did before I found this) it also just makes a lot of sense to use a browser extension to collect potential matches passively.
- 3D printing experiments. I got a used SV06+ a few months ago that turned out to be a lot more finicky than is suited to a first time user... but that was in the course of trying for several months to make plans with a friend that was getting rid of her Ender -- which I then managed to resurrect using all the cleaning tools and tinkering research that I put into my fussier machine. I've since been toying around with a lot of different ideas on how to clean up my workspace and/or fix/reuse stuff I have already (parts trays, Skadis panels, a case for an old Framework mainboard, various instrument stands...) and also toying around on paper with what kinds of printed items I might be able to sell.
- Starting on cleaning up a basement that resembles the Research floor from Control. Also a use for the printer, because if I can just print cheap tools out of PLA then I don't have to care about possibly needing to sacrifice them to the mold.
- Various Coursera stuff. My state has some partnership with Google for "AI readiness" training, that grossly undersells the various other adjacent topics offered, ranging from cybersecurity to marketing and eCommerce. Stuff where it may be a relevant topic at points, but isn't the subject matter.
I'm working on Solace¹, a programming language that targets JavaScript, but is not a superset, like Typescript. The idea is, to allow zero-runtime-cost safeguards, like Optional Values and Error Unions (syntactically they look like Zig's), decent pattern matching and Traits. There's still a lot of work to do, though, because some of the approaches I went for, don't hold in all cases (generics are tricky).
1) https://git.koehr.ing/n/solace
An integrated softphone, email client, CRM and task manager https://www.benko.app/
I like the concept. Your website needs screenshots.
At present the screenshots would consist of a billing system :)
I already have a product BenkoPhone.com but the app is provided by a 3rd party and I just white label it so I have started building the replacement.
I built the account management and billing system first after implementing a proof of concept for the app then had to do a major platform change which stalled development of any other features for 3 months.
Hopefully I’ll be adding features again by the end of this month and I’ll put some screenshots in once it actually does something!
I've been building a framework for web, ios and android native development at https://github.com/vmsp/flypath.
It's based on the Server-Driven UI philosophy where the backend streams both code and UI into a frontend that just knows how to render what it's told. This is pretty cool because it makes it makes over-the-air updates possible.
It also follows the batteries-included philosophy of Rails. Has an ORM, background and cron jobs (all based on Postgres), Django-style migrations, JSX Emails and pretty great FFI that's built around a simple `"use native"` directive, in the React Server Component fashion).
An Openclaw, Hermes Agent type system that is meant to be ran on a home server, built in Rails with a Tauri 2 front-end.
https://makefaster.dev
I had a bunch of extra Fable credits, so I spent about $10k running autoresearch loops on 200 of the top github repos with frontends to try and speed up the frontend performance. I distilled them down into a leaderboard of the most common wins, and built out an autoresearch loop that takes those learnings and applies them to your repo.
Works with your existing claude/cursor/codex sub in a cute custom TUI.
I just submitted a Show HN for it: https://news.ycombinator.com/item?id=49687032
That's such a great idea. Thanks for doing it!
Now launched => Verse Draft: https://versedraft.com - An all-in-one writing studio where fiction writers can keep all the details for their universes in one place while crafting stories, novels, movie scripts, TV series, or stage plays.
Also created a fun simple "card game" activity for writers looking for story ideas or stuck with writers block: https://talemancy.com/
(This was somewhat inspired by memories of playing Ultima IV as a teenager)
Currently working on something a little more visually focused in creative design.
Haven't added a demo to the repo yet (will do soon) but building this TUI [1] in Go to manage my agent skills.
I don't like putting 20-30 agent skills in the .claude/skills/ dir and letting the agent figure it out. I keep all the skills I've created and adapted over time in a separate git repo and then from there I copy them to the project skill dir when i need them for a session and then remove them when I'm done.
This TUI just replaces all the manual work with ls, cp -r, and rm -rf commands with a few keystrokes.
[1] https://github.com/primaprashant/sei
I'm decompiling an obscure 1998 computer game using an LLM agent skill that I'm simultaneously developing from papers and books on reverse-engineering (a subject I've never previously engaged with) with the aim of migrating it (well, at least its assets) to the browser: https://esoteria.pages.dev
Here's the skill: https://github.com/gavmor/x86-cpp-reversing-skill
It's all slop, but it's battle-tested and producing results. It's quite fun and inspiring to see some of these assets like textures and geometry that are improperly decompiled, bit shifted or something like that. produces a lot of abstract, glitchy art.
To make sure that my process and results are reproducible, I've gotten back into maintaining Concourse CI pipelines. They were very useful when we were shipping a fork of k8s for VMware, and now they are a fun way of shipping cyberpunk billboard sprites to Cloudflare buckets.
I got back into Concourse in order to attempt a more rigorous approach to generative AI experimentation as well. Unfortunately, there are just so many odd techniques, configurations, loras, and utilities striking my fancy that my experiment pipelines have exploded into the dozens, and Concourse is not a large enough or a high-level enough organizing principle.
I've been working on a collection of native AI/ML operators for TouchDesigner on macOS. Think of it as a happy marriage between the interface of TouchDesigner but with some of the features you know from ComfyUI.
https://www.patreon.com/MickeyvanOlst/posts/meet-aml-macos-1...
Typically TD for the Mac has always been a bit underserved, by leaning into some of the frameworks that exclusively exist on macOS I'm hoping more people will see it as a viable platform for this kind of stuff.
https://solanda.federa.social
A new UI library made with zero dependencies (native web components). I just made it public as I actually use it for my personal projects since past year.
The core principle is to help with UI development without bloating a project. It works with vue/nuxt (tested, my projects are done with it), but also react/angular/svelte/etc.
One feedback I got from reddit (I published it this week there) is that AGPLv3 may be a problem for adoption... still not sure if should I use MIT.
I've been working on a typed, functional-imperative, full stack programming language with IDE support: https://www.firefly-lang.org/
I have been working on cost models and coupon ladders for businesses.
If either of those are interesting to you, please reach out!
For example, I am helping some restaurants learn exactly how much each item on the menu costs, what the margins are, and how much profit each dish is bringing in because I integrate with their PoS system.
https://imgur.com/a/C127GOY
It's all a part of GetSetReply which is turning into a small suite of tools for SMBs
https://GetSetReply.com
Writing an article about compacting garbage collection for my website.
Web bluetooth for ios (via safari extension). It's already way better than any 3rd party browser available in appstore.
https://beacio.com
I got laid off at the beginning of last month so put a little time into some personal projects I thought might be fun.
https://dstld.news - I have always wanted a personalized news site so I built one using a few news APIs with AI summaries.
https://hn.wreet.xyz - I'm a big fan of skeleton.dev and wanted a HN frontend with all the fun themes.
Nothing too exciting, just trying to find the joy in making again.
I spent some with reverse-engineering a neural network accelerator (NNA) inside a Chinese WiFi camera SoC: https://github.com/inoop/t41-pluto. I used Claude to reverse-engineer the hardware, and then implement an ONNX compiler and runtime so I can run my own models. Basically I now have a $20 AI smart camera.
Still hacking away on Raygum - a nice place to keep your music brain.
I don't even know what that means.
https://raygum.com
Raygum appears to be refreshingly nice place! Thanks
Thank you! Feedback encouraged!
Contributing larger PRs to terraform-provider-aws because apparently my contributions so far do not have enough lines of code as a metric. Getting familiar with Floci for usage with Terraform over LocalStack since it is a true open source project rather than freemium. Also getting my AAS from Maestro. Ride or die since I can not afford college anywhere else despite their current accreditation issues with COE.
I’m working on a 52-part series about retention.
Each week I research one part of retention, teach it, and apply it to two real-world products I built.
I’ve published five lectures so far, and think the series should be useful to anyone here building a product: https://www.youtube.com/playlist?list=PLFp5nmjrQeug
I've been working on https://pronto.stream/, I wanted to mess around with MCP and building a world news system to power the decision making and surveillance of other systems I would likely curate.
I was curious about formats more efficient for agent communication than JSON and also proving if the framework I curated could handle the load and traffic.
It's been really fun to observe.
I am building OtaKit.app, a cheap, fast, and simple CDN-based over-the-air updating tool for Capacitor apps (and soon for React Native too)
A local AI-adoption consultancy business for SMBs where the differentiator is I physically show up at your office and actually talk to your team. With the slopification of cold outreach and social posting, I think the future of business development is going to be very personal.
https://dfwfractionalfde.com
How's your experience been with this so far, especially in the DFW area?
we are building https://www.d5s.tech, using our own software to automate our own company (the boring bits)! having a blast doing it and steadily automating more and more
and... whenever i have some spare gpt-6 astra left i am working on a R.U.S.E reimplementation alongside some other threejs experiments
RSS Bot for Telegram: learns what you like, searchable, using free models (vibe-coded): https://github.com/amb007/rss-bot
api for building apple and google wallets. launched it after ppl kept asking for one on the consumer app (launched on hn too) and gave it a shot. now it does enough mrr that i dont have to go back to work.
*walletwallet.dev
I've been working on https://searchforjobs.app/ I'm trying to add the resume creator for using the right keywords for a job posting. I'm also trying to add more data visualizations are more job posting sources to scrape.
Reverse engineering the hardware and firmware of a Sony A7 IV camera.
Baking eggless applesauce oatmeal cookies and chocolate chip cookies.
Build one of the best emoji sites there is.
https://emojistime.com
- i dropped a neural net jane street puzzle (https://huggingface.co/spaces/jane-street/droppedaneuralnet) very good mindbreaker, learned a lot of new things on the way
Making rent as an open source developer.
Desperately trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my terrible HTML skills. Is it working?
If any individuals, companies (or bitcoin millionaires) would like to help a long-time OpenBSD slacker, unslack, I'd really like to focus more of my time on open source development (and advocacy), rather than making rent. Feel free to contact me.
https://brynet.ca/wallofpizza.html
(Native SegWit): bc1qwe6zv0ezq4gzlea6tw45qhsn5kckheljn0krvt
The 2026-27 soccer season just started.
If you love catching up on highlights, check https://thepelota.tv/
It’s like Netflix but for soccer highlights, with all the major leagues in one place as soon as they are available on YouTube, all free and no ads.
Where do you source the lineups and match data from?
I use this Highlightly's API https://highlightly.net/
Simple and does what it says on the tin. Nice!
Thank you so much. Let me know if you have any feedback :)
Don, a work companion.
Don helps you set goals.
Don reminds you to take breaks.
Don checks in how you fell.
Don judges you when you go off track.
Don celebrates you when you get stuff done.
https://donethat.ai/solutions/productivity
I am working on real estate management system that do have AI agents https://www.aqaris.ae/. I want to automate mundane day-to-day tasks so managers can have more time
a marketplace for people to safely collect their own AI sessions in their own S3 compat buckets so they can sell them later to dataset buyers.
https://traice.market
I just released an open-source AI pipeline that turns GitHub issues into merged PR's. It uses your Claude Code CLI subscription.
Looking for feedback from people who already run Claude Code and are testing out new AI software factories or tools.
Try it here https://github.com/Team1-dev/Team1-Factory
Please only run this on a VPS or isolated environment and not on your personal machine as it runs with full permissions.
LumifyHub.io
i am working on a really cool word game that has a TUI graphical style, it looks like a roguelike but has a bit more going on. i also seem to have figured out a way to do automated "fun factor" testing and get bugs/frs that sound like real player feedback, as a little bonus treat. doesn't seem like anybody is attempting that kind of thing with agents, might try to codify it. trying to spend a lot longer thinking about a game's systems/meta and developing slowly vs. hypersprinting which is fun but exhausting.
Optimem, a spaced repetition learning app that aims to be a user-friendly alternative to Anki. Or a more effective version of Duolingo.
https://optimem.org
https://topicle.com/
Social media trying to solve misinformation, astroturfing and inauthentic posting. I also thought there was a real space for some non-US based social media, so this is based in Australia. This is owing to all the political instability going on in the US right now and especially stuff like user's identities being subpoenaed for criticising the government. It was a pet peeve of mine seeing threads of comments that are obviously artificially create to push some kind of narrative, and the ability to buy likes and upvotes to shape opinion and I wanted to do something about it.
I've been working on it since 2023 and launched earlier this year in March 2026. Recently native mobile apps have been launched. It's a lot of fun to see how bad actors are joining the site and trying to build automated mechanisms to address this, leveraging AI to improve detection, without impacting legitimate users. It's also been a great technical challenge to try to support features that the big players support like video upload and encoding, image upload, CSAM detection, NSFW detection, LLM-generated text detection, auto-translation using DeepL.
There's also lots of legal compliance challenges now with age verification laws coming in around the world, and ensuring you employ all the correct Apple and Google-specific verification (Declared Age, Play Age Signals) in the correct global regions. It's also fascinating to see behind the scenes how tight or not so tight current age verification actually is.
Recently, I've been polishing the iOS version to try to hit the 120hz target frame rate while scrolling feeds and finding SwiftUI is much less capable at this than the old UIKit approach. I'm also trying to teach myself marketing and keeping users engaged. I'm primarily code-oriented and historically haven't had to do any marketing myself and this is a vertical learning curve. I have gained a great deal of respect for those that have 'figured out' marketing, seeing how difficult it is starting from nothing.
It's also a lot of fun to take a feature from a user suggestion in the morning to an app release including that feature in the evening. This is a speed of delivery that would be unthinkable in the corporate world, where I previously worked, and is very gratifying to put a complete feature in a user's hands within 24 hours.
Anyway, it's a very long and tough road and may amount to nothing eventually. But if nothing else, it's been immensely educational and a lot of fun. Thanks for reading and feel free to check it out:
https://play.google.com/store/apps/details?id=com.topicle.ap...
https://apps.apple.com/app/id6791489291
I'm trying to build a tool site that has all the tools you'll ever need. I slowly add some each week.
https://allthedamn.tools
On a mission to prove you don't need YC to be successful.
Trying to reduce my doomscrolling IG and FB usage
I created https://getnoloop.com to block the feed on iOS
Lots of things really:
1. Aetheris: geometry CAD kernel, https://github.com/yuechen-li-dev/Aetheris/.
Full code CAD capability with big coverage already and some functionalities that even OpenCascade/Parasolid/ACIS doesn't have, full sheet metal module, programmable part assembly, analytical fillets/chamfers, mathematical knots, auto-route for piping, built-in finite element analysis, etc. Had Astra make an improved version of the V8 demo that was going around on LinkedIn, so it can do general hard surface modeling pretty well too, turn all the Astra demo prowess into reusable capabilities/templates. The DSL is human writable too, so give it a try if you want. https://aetheris-editable-v8.yuechenli.workers.dev/
2. Concept language: https://github.com/yuechen-li-dev/Concept
I've said before that Carbon isn't a real programming language, never mind a successor to C++, so I decided to put my money where my mouth is. The idea of it is to be more TypeScript to C++'s JavaScript and to generalize C++20 concepts from template constraints to what C++26 is doing with contracts, and bring the equivalent of Rust's borrow checker to be opt-in by default instead of opt-out, fast compile time, in a syntax that C++ users are already familiar with (`const auto` instead of `let` for example) as well as templates and comptime. Language is done-ish, not self hosted yet, still compiles to C11, kernel and allocator libraries are finished, currently working on the scheduler right now.
3. Copeland TS, https://github.com/yuechen-li-dev/copeland
TypeScript for .NET without all the weirdness of Javascript, with full Nuget and NPM inter-op, Rust style exhaustive `match`, templates, etc. It's actually weird how much cleaned up TypeScript ended up looking like cleaned up C++. Compiles to JS, C#, WASM via Blazor WebAssembly, and SPIR-V via HLSL/DXC, and runs on V8 for JS and RyuJIT/NativeAOT for C#. The conclusion is that RyuJIT ended up being ~2x faster than V8 JS in hot loops but the cold startup time is higher, so replacing JS for UI really isn't worth it. Comes with full UI layout system, Vulkan renderer, and game/app runtime, but those are still pretty rough.
lexera, a kanban board with full multimedia and document include support that saves to markdown, exports to marp to manage teaching materials. it also started out to be my editor of choice for agentic programming as each task is a card. hopefully i will manage to create a page and visible materials soon!
I've been doing a bunch of stuff with using a PUT[1] to simulate an IF (Integrate and Fire) neuron[2]. Right now I'm experimenting with variations of pulse-width and frequency of the input spike train, seeing how that affects when the "neuron" fires. In a future step I'll add a resistor to bleed off some of the charge from the timing capacitor, to make it more of a "Leaky Integrate and Fire" neuron.
And then ... well, we'll see. I'm also reading a lot of books and stuff on neuroscience, neuromorphic computing[3], analog computing, etc. I don't have some "grand unified theory" or anything, just playing around in this space.
There's a lot more I could say about this, but I'll save that for a blog post or something. That said, if anybody wants to see some pictures and read some write-ups of some of this stuff, add me on LinkedIn[4] and you'll see some of that stuff in my activity there.
EDIT:
What the heck, here's a picture for anybody who's interested.
https://fogbeam.com/images/scope_20260913_202613.png
The magenta trace is the "spike train" which is output from a Rigol DG4162 Function Generator. The yellow trace is the voltage at the anode of the PUT, which simulates the "action potential" of the neuron membrane. And the cyan trace is the cathode of the PUT, which simulates the output of the neuron. What we see here are several input pulses hitting, with each bumping the action potential up a little, until it finally hits a threshold and then "fires" and resets. Lather rinse repeat.
[1]: https://en.wikipedia.org/wiki/Programmable_unijunction_trans...
[2]: https://neuronaldynamics.epfl.ch/online/Ch1.S3.html
[3]: https://en.wikipedia.org/wiki/Neuromorphic_computing
[4]: https://www.linkedin.com/in/philliprhodes/
I'm working on an arcade joystick with full analog capability using a Hall effect sensor. It's along the lines of the Ultimarc Ultrastik, which I'm currently using, but it has so many shortcomings that I decided to build my own. I decided to go with a rp2350 microcontroller, and it will have inputs for 16 buttons, and outputs for RGB leds for every button. It should be a direct swap for any enclosure designed for a modern Sanwa stick, which it's based on.
I’ve been building an offline first animation webapp. CRDT-driven to support eventual team features. Just got tweening working this weekend, exporting to video is next.
I am learning math logic and two languages to use it: TLA+ and Lean.
I want to try again using AI to build an app, and also learn some Rails. I consult at a company that uses ServiceNow for change control and it's absolutely horrible, and they have busted processes atop it. I dream of a change control app that has templates, has better visual indicators of an RFC's stage in the workflow and exactly what needs done to push it along, and just something that doesn't suck as much as SNOW.
1) I've been running a bunch of little daily puzzle games for my friends for a while, finally got around to polishing one for public release
https://picobble.com/
Not like I'm gonna anything much with it, just was fun to get something nice-looking and presentable up for once. Working on polishing more of them and, of course, designing new ones.
2) A font generation system, inspired by Iosevka, albeit much much simpler. Learning tons of interesting technical things about TTF and WOFF2.
I played the daily puzzle game, it was quite fun. What word list are you using? It's clearly different from Wordle's.
Recently got genomic DNA purification automated for yeast (plus have automated library prep for nanopore+ a promethion)! As part of the DNA purification task, I had to journey up to Healdsburg to buy some lysis enzyme (thank god for winemakers, 100x cheaper than the biotech grade stuff), and noticed catalogs of different yeast strains with all their flavor profiles and stuff characterized.
I'm thinking about buying all the strains and pushing them through my automated sequencing pipeline, and building a yeast genotype -> flavor converter. Then, I think it'd be neat if you could have someone try a bunch of wines to get their favorite, and then genetically engineer a yeast strain specifically for their favorite flavors. Think that could be neat.
Software to promote live music and drink specials so I don't have to check dozens of Instagram accounts to find out what's happening tonight.
https://nittanynights.com/
https://indyafterfive.com/
I wrote my own site parsing toolkit which removed the friction I have with the current ones. It's now easy to add new locations quickly to scale.
All those things I use once in a while, I put them on one place without ads or bs. Optimized for usability, not impressions or whatever.
https://sfw.tools
If there's a tool you'd like to see there, let me know and I'll add it.