alt Hacker NewsAsk HN: What are you working on? (August 2026)
What are you working on? What have you been curious about lately?
Comments
Lots of fun projects being listed. I'm working on Preloop(https://preloop.dev), a way to run your unmodified Github Actions locally or self-hosted in isolated cross-platform microvms(uses smolvm which uses libkrun vmm).I got frustrated with Github Actions reliability and inability to run or test my workflows locally so i re-wrote the runner and reverse-engineered the control plane so it follows the exact runner protocol the offficial runner does. Each job runs in a microvm that boots in 400ms from a packed image. Also supports a way to pause on every failure so you or your agent can immediately shell at that point, fix and retry(in a new environment) to verify. Also supports the full DAP protocol so you can interactively step/forward/investigate context at each step/job.
Try it out: https://github.com/preloopdev/preloop
My two biggest projects are:
https://www.idlequest.net/ - a from-scratch recreation of the 1999 MMORPG classic EverQuest, featuring a real-time MMO server written in Go, a 3D game browser-based client built with Babylon.js, and the clasic UI recreated using React. You can play it both as a regular MMORPG but also in "idle mode" where it basically plays itself. This had up to 70 players online at once a while back which was really cool, though its popularity is in a bit of a lull right now. There are still tons of bugs and stuff that isn't fully implemented (and balance issues) but it's still fun for most people who have nostalgia for it.
https://www.newyokosuka.com/ - an unofficial Shenmue MMO experience. Based on the 1999 Sega Dreamcast game Shenmue, it's playable entirely in your browser! It's basic world exploration with forklift shenanigans, some basic dialogue systems, and a basic combat system test, but I'm about to push an update that includes all cutscenes and story progression as well. The story part is taking a bit of time because I'm having to mold it to fit in an MMO context. But it's a fun project to work on and the Shenmue community loves it so far.
I'll be flying to Edinburgh for the Fringe Festival in a couple of days, and I've been putting together a much better app than the official one. It builds the full catalog of shows as a sqlite database and syncs it to your phone so that you can filter, search, sort, and build a schedule even with the traditionally spotty data during the fest. I also added a bunch of coordination features for planning your Fringe with friends.
It's a PWA, not a native app over at https://fringeflypost.com/ (or you can go directly to https://fringeflypost.com/shows to browse if you don't want to make an account.)
I've been building the most advanced automotive diagnostic app on the market
I used to be a mechanic, and spend a lot of my free time working on project vehicles, motorcycles, tractors, trucks etc. I wanted a tool to track the tasks I needed done, then a way to easily access VIN info for parts search, then I DMV records, and finally built an iphone app to scan the OBD2 diagnostic codes and hook them up to a custom ai diagnostic prompt.
It's been a blast to work on, I need to focus on marketing it and get some users that aren't close friends, but it's been serving my purposes this summer so far.
I've seen nothing with anywhere close to this depth of diagnostic reporting.
https://crewchief.cc https://apps.apple.com/us/app/crewchief-auto/id6760673109
I’m working on a native UI framework in rust. I want to be able to build cross platform, fully native applications with native code. And I want platform native components.
I started with Leptos - which gives you a nice declarative UI syntax and reactive elements. I used Claude to get that working on iOS, cocoa and GTK. I made a nice little iOS schedule app for attendees at conferences. It works great. All rust, native UI and a fast and small binary. The current UI code is here: https://github.com/josephg/leptos-native (not officially part of leptos). It works well, but not all of the components I want have been implemented.
At the moment I’m rewriting the core to ditch the vibe coded parts and break the whole thing into an app backend API and separate platform layer. I want to be able to write apps in wasm and have a windows / mac / Linux host that can run them using native UI. And a runner to run any app using a TUI. And have a compilation process to compile the whole thing into a single native process for app developers and to publish to the App Store.
A boat game for 5+ age group!
I was never much of a game developer, but recently my 5 year old son wanted to play a game so we decided to build one together.
It's a boat game, you basically steer a boat in an isometric 2d world, transporting passengers, cargo etc between ports.
As we designed it, the ideas just kept on coming. He made or directed a lot of the art inside of the game (even the audio), and we included friends and family as characters within the game.
A lot of fun to build - hilarious at times. I used Lua and LÖVE2D, building basically a game engine for an isometric world, so that took significantly more time than expected.
If you want to test it [1], please do, but keep in mind it's only in Norwegian, but I am sure most people would be able to figure it out as it's meant for age group 5 and up:
[1] https://apps.apple.com/no/app/b%C3%A5tspillet/id6791630382
At this point our entire extended family and their kids, grandchildren etc are actually playing this, so it's been super fun.
I have been working on and off on https://www.whichtemple.in
- it is a collection of ~ 2700 temples across India, with images sourced from wikipedia
- it shows you a random temple each time you visit
- it has a map view of temples across India
So this is just the tip of the iceberg. I am trying to build a catalogue of all temples, starting with India, and expanding on to the rest of the world. The focus is on temples originating from Indic religions like Hinduism, Jainism and Buddhism.
I have personally discovered many cool temples that I have never heard of, but I am struggling on how to gamify this. Feedback welcome!
The final stretch of getting my game ready for release next week: https://store.steampowered.com/app/2764460/Sandustry/
It's an automation game and factory builder with "falling sand" physics. Think Noita meets Factorio.
For the past four months, I've been building a window manager for MacOS based on my 2009 concept video 10/GUI.
I've overcome about a dozen "there's simply no way to do this in MacOS and I have to abandon the project" challenges so far. MacOS really does not want to let you manage windows in this novel of a way, and I've had to come up with a handful of tricks to maintain the illusion that the WM is accessing the compositor at a lower level than it actually is. But it works, and I'm dogfooding it as I go!
I'm hopefully only a few weeks away now from a full announcement and a beta. If you're curious to try the first beta, feel free to get in touch at clayton at presteign dot com.
I'm working on Dictatorship Simulator. A deckbuilder where, instead of directly attacking your enemy, you manipulate a political simulation to do it for you. You start out on the fringe, and slowly work your way up, fighting an increasingly worried and panicky government - as well as your own.
https://store.steampowered.com/app/4564800/Dictatorship_Simu...
I too got laid off at the end of April. So what I've been working on since then has been AI. But of course, being the contrarian that I am, I'm trying to make small language model AI usable. The end goal is to complete all the pieces I need to create an AI empowered tool that you can point at an authorized Network, and it figures out on its own. What needs to be monitored. Learns what normal looks like on your network. Build your dashboards. Working both as systems monitoring and network monitoring. So right now my GitHub is full of both things that I need, for personal use, in this goal. Also with things that I need because they will become tools for the final product. https://github.com/linuxrebel. You'll get to see my contorted mind at work
I'm building an AI agent that plays Slay the Spire. It currently reaches A20 Act 3 consistently and occasionally defeats the A20 Heart. It use two search: spare graph search for deck building, and MCTS for combat.
Parallelly, I'm working on an attention-based memory retrieval system that achieved SOTA on LongMemEval, LoCoMo, and code retrieval benchmarks. https://github.com/AttemorySystem/attemory/
Maybe later I'll build a live-streaming AI agent that plays Slay the Spire while conversing with viewers and remembering everything in chat!
I'm building an uptime monitoring service, in Elixir, called https://larm.dev. It's a tough field because for some reason people vibe coding apps think this is very easy to do, and there are new apps coming out pretty much every day. I'm still figuring out how to effectively stand out in the noise.
I really enjoy working on the app though. The backend is Elixir, with a Phoenix LiveView dashboard. I've got a cluster of 3 nodes running, talking to each other. The probes that check the monitoring targets are tiny go binaries, spread across hosting providers across the world. I've also got synthetic probes now, running in little playwright sandboxes.
A lot of the challenges have been around how to distribute work across the probes, with different strategies for the basic TCP/HTTP probes vs the synthetic workers, and how to effectively store large amounts of events (Clickhouse).
The last time somebody made this thread, I posted about https://the-waterline.com/, a site I launched as a side project/eval to see how well Claude can do a decent-sized project (mostly) independently. It pulls public government data about water levels in the western US, updates the website and sends out a newsletter.
It started getting some search impressions and clicks, so I decided to launch the next 9 of the top 10 ideas that ChatGPT came up with for this type of site - won't post all of them here, but https://the-dwell.com/ (data on ship and truck dwell times/port congestion) is doing the best thus far from a traffic perspective.
First I had it send me a weekly analysis of the GA4/GSC data to see what could be improved about the site, but I've since automated that - each week it reviews traffic and search queries, then updates articles or creates new ones to meet demand. So now in theory I have a full engine to launch these sites and have them self-improve over time. Kinda neat to see all of that being done autonomously.
The thing that these sites really need are some backlinks, so I'm thinking through how to get those. I had ChatGPT generate some lists of places that might find real value in linking to these sorts of things, but I'm unwilling to let an AI agent start emailing people. I'm going to try sending some emails to some of the places that seem like a really good fit, see what the response is, and if it's good try to figure out how to do that on a larger scale without AI email spam.
I finished wiring up the backend data merge so user(s) (aka me, really) can record trees as they walk and have those merged into the general city data on my urban tree map app[1]. There's some very cool trees in the neighborhood I'm excited to have recorded.
Which leads me to trying to get the processing off github actions (it's all duckdb pipelines), which has led me to improve the orchestration implementation of my 'better sql' [2] to optimize the asset based refresh flow. I'm now wiring that up in a general cloud service to give me the data orchestration platform I've always wanted. Building a multi-tenant cloud experience has been interesting!
[1]: https://greenmtnboy.github.io/sf_tree_reporting [2]: https://github.com/trilogy-data/pytrilogy
I'm working on https://wireplug.org:
wireplug lets you create mesh VPNs using standard WireGuard. Your wg config files stay almost the same, except you no longer have to specify an `Endpoint` for your peers. Instead, wireplug detects all your possible endpoints (including LAN) and coordinates them with your peers for you. It handles NAT traversal and works with the in-kernel WireGuard driver on Linux and OpenBSD. This lets you keep managing your own keys and network topology, while also maintaining connectivity when moving between networks.
Currently working on improving NAT traversal by adding support for PCP and NAT-PMP.
Working on open sourcing my data analytics canvas: https://kavla.dev/
I've worked on it for about a year, with 1700 commits. I've been going back and forth if I should just open up the canvas or also the multiplayer experience.
I've always had the dream to make some money from a side project, but I don't think this one is it, so I'll just make the entire repo public. Just want to clean up some stuff first.
Lots of fun tech used: duckDB WASM, Cloudflare Durable Objects, tldraw and pocketbase
I created a make-your-own-circuit simulator in python to help learn electronics. The best part about this is that it is entirely hosted online and people can just go through the lessons, learn electronics by skipping the maths, and in the process have made their own circuit simulator (which is arguably a pretty cool project on its own) at the end of it.
I've been working on a Persian classical poetry archive with LLM-generated translation. As a poetry enthusiast but a non-speaker of Persian, I wanted to read Rumi, Hafiz, and Bedil, but found myself jumping between ChatGPT and Google Translate. I sourced my data from Ganjoor, which was luckily available via their public API. Then I quickly put together a website with bring-your-own-key translation feature.
For now, there's no backend and it's hosted on GitHub Pages; it's a static website reading chunks from an sqlite-based DB file. I intend to change it in the future by running an LLM (preferably a frontier Gemini model, as works great for Persian) over the whole data set so you won't need a key to read the translated poetry. However, I don't have the budget of $1000-$2000 to spend on the tokens currently.
Website: https://0x5ce.github.io/farsidaan
Code: https://github.com/0x5CE/farsidaan
P.S. Contributions welcome.
Rated Analysis, rating relative chess analysis: https://rated-analysis.pickle-dev.com/
I've been a bit obsessed with chess lately and have read/heard things like "X is the top engine move, but no one under master plays that line". To me this begs the questions "which line are players below master playing" and "which line are players at/above/below my rating playing". This question motivated me to build a tool to analyze the move distribution (win/draw/loss rate) from a given position across rating buckets (400, 500, 600... 3000). Luckily, https://database.lichess.org/ provides an open/free database of games that have just the data required to build such a tool.
The Rated Analysis tool consists of an 1) an offline job to compute/store the positional move distribution bucketed by rating, and 2) the https://rated-analysis.pickle-dev.com/ webpage to serve the data along with some nice to haves like loading user games from platforms like chess.com/lichess.org.
A Drobpox like app that works with FTP and every other storage protocol along gateways to access your Dropbox over FTP, SFTP, S3:
- the desktop client: https://github.com/mickael-kerjean/fdrive
- the web client: https://github.com/mickael-kerjean/filestash
https://finbodhi.com - An app for your financial journey. It helps you track, understand, benchmark and plan your finances - with double-entry accounting. You own your financial data. It’s local-first, syncs across devices, and everything’s encrypted in transit (we do have your email for subscription tracking and analytics). Supports multiple-accounts (track as a family or even as an advisor), multi-currency, a custom sheet/calculator to operate on your accounts (calculate taxes etc) and much more. Supports price fetching for most Indian investment vehicles and US stocks. You can create custom dashboards with leading/trailing/rolling charts for investment options and benchmark.
We will soon add more import conveniences, like asking your llm to generate importer for your special pdf formats. See https://finbodhi.com/changelog for details.
We also write about related topics:
We wrote about comparing investment options: https://finbodhi.com/docs/blog/compare-charts
Benchmarking your returns: https://finbodhi.com/docs/blog/benchmark-scenarios
Understanding double entry account: https://finbodhi.com/docs/understanding-double-entry
I've been building https://consciousnesslibrary.org, an open library for psychedelic and consciousness research that pulls from over a dozen academic APIs every 20 minutes, dedupes them, organizes by relevance, and synthesizes evidence.
I just finished my master's in Psychedelics and Consciousness Studies, and built the library I wanted while studying. I started it over a year ago, but put it down until my practicum advisor suggested I dust it off and go hard on it during my last term.
As of this writing, there are over 35,700 papers by over 82,200 authors organized into 37 topics, growing daily. There's a 2D map of the whole corpus and evidence syntheses on the topic pages, plus the ability to generate your own syntheses with any prompt.
It's built with Rails 8.1, uses one Postgres (for full-text search, vectors, and job queue), and runs on a $24/mo DigitalOcean droplet that I just upgraded from the $12 tier and deploy to with Kamal. Total LLM spend so far is ~$28 in DeepSeek-V4-Flash, trending down after a big one-time backfill push.
Relevance was the hardest part to get right by far. Ensuring we keep papers on LSD the psychedelic vs Lumpy Skin Disease, or Ketamine for depression vs anesthesia in cats was no small feat. The design ended up being a cheap keyword prefilter, then an LLM rubric that accepts or rejects papers. More on that here: https://consciousnesslibrary.org/docs/article-pipeline.html
It's free, no ads, no signup to read anything, and a registered 501(c)(3) I fund myself for now. I'd really like to know what breaks or any other feedback, and would love to answer any questions about it!
Antics (https://antics.gg): a site to play silly little multiplayer games with friends, and to make your own by using our MCP
The bet is that current models are good enough that anyone can one-shot a fun browser game. What they can't generate is the multiplayer part (server, WebSockets, state sync, hosting), so that's the only part we've built: a browser SDK plus a hosted relay. Deploy a game, get one link, and everyone who opens it is in the same room.
Quickest way to see it: open any game on https://antics.gg/games in two tabs.
I’m exploring how to use AI for faith oriented experiences and products. There are two specific areas I’m interested in. I’m furthest along with this app in the App Store. https://trysojourn.app
1) grounding LLM scripture references in the actual text and eliminating hallucinations. This is the platform for that. https://withlattice.com
2) how to use AI to get people into scripture more as opposed to being a substitute for it. This is the product I made for it - it uses #1 above. https://trysojourn.app
I’m currently on the beach at Google (since mid July), so I’m looking internally and externally for a new role. But I’m exhausted, so I’m playing around with local LLMs and DeepSeek more as well. I’m currently trying to get an agent harness going where orchestration happens via bazel, and agents are completely isolated beyond what context you give them access to as expressed in starlark. Agent executions are organized as a DAG like a build would be, where the output of one agent can serve as context for another (there is also a feedback mechanism which is needed for arbiter nodes).
I’ve mentioned it before, but we can get some pretty good results for developing implementation and tests with this setup. The context isolation makes it easy to separate test and code writing using a specification as a source of truth. Tests are then run by an arbiter that feedback to tests or implementation depending on who it blames for test failures. The tests are then treated as an independent implementation, and through the math of coincident errors, the arbiter feedback loop ensures that both are eventually correct (N-versions and clean room research did this with humans in the 80s). This then allows us to use less reliable LLMs to develop code, like Qwen on a MacBook Pro.
I hope to have something out on GitHub before my beach period ends (well, if I’m unsuccessful in getting a new role, then I’ll have a lot more time to play at least).
I've used Claude Science to retrieve and analyze 20 years of meteo data - wind, precipitation, snow cover, temp - for Pacific Northwest, to figure out how can I better plan mountaineering trips: "If Mount Baker is out due to hazardous weather conditions in the middle of September, what would be the plan B summit with the highest probability of having good weather?"
Done a lot of analysis, sliced and diced data different ways, and then realized I need a website.
Ended up building https://climbable.day - hopefully a helpful resource for fellow Mountaineers from Seattle and around. 500 summits, 20 years of weather data, then went all in and added
- Wildfire smoke map overlays from official sources - Road closures from WSDOT - Information about approaches to most of the summits, sourced from Peak Beggar and Mountaineers - Database of known incidents from AAC - Compare your plan A, plan B, plan C, that type of thing
Site gained traction in the local community, and I have about a couple hundred users that seem to be using it on a weekly basis. It's free, and I intended to keep it such. It's a personal project, not something I plan to make money on. If you're in PNW and find it helpful, I'd be happy to hear what ideas you have. If you're not in Seattle but would like me to extend it to cover your neck of the woods, let me know.
I’ve been working on something to help our family plan things better. We have two kids now in elementary school and both involved in extra activities. Registration dates, birthdays, game times, etc. are a lot to keep track of. We both have work and personal calendars and never sat down to plan which calendar gets what. Maybe that would’ve been easier! In any case, I built Mavo to try and centralize that stuff and see if I can make it more proactive than just a calendar.
You send it your events via email, online, in-app, or text message even, and it puts it into your calendar for you, letting you know if there’s conflicts and keeping track of who is assigned to what, not just who’s attending or not. My goal is to have it proactively notify you when there’s potential issues like rain, traffic, or something else.
You can connect it to ChatGPT, Claude, or other agent through MCP so you don’t even have to use the built-in AI. And there’s an API, SDK and CLI for those who want to tinker and build custom displays or interactions.
There’s an always-free version to get started and try it out. You can find it at https://mavolife.com
A prolog to c compiler
I got depressed from my grievance with my abusive mother and started reading the compiler dragon book along with artificial intelligence by steve.
Have been working on three micro-saas, all built in Elixir/Phoenix:
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
Took a long break earlier this year to recharge, but now I'm back at it again, mostly working on Feedbun, about to launch it as an early alpha. :)
I'm figuring out stepping stones in getting closer to user data autonomy. A natural starting place is our professional history.
So, I'm building a compatibility layer; something that works with everything - including your own vibe-coded personal CRM.
It's already helping - even something as simple as correlating calendar events with new connections so that you always know where you met someone.
https://tend2thrive.com if you're curious; It's live, so DM me if you'd like an account rather than just hitting the waitlist.
I put my flat in the UK on the market recently and it has given me a lot of insights into how broken the real estate market is! One thing I found particularly annoying is how dominant rightmove is and how much of the traffic for house hunting they control.
As a small way of standing up to them I created https://rigove.co.uk/ (rightmove without htm - the hidden toll machine ;)
If you change rightmove to rigove while browsing a property for sale you get a page which shows where else that property is listed.
It is only a few days old so it is currently more miss than hit but I plan to reach out to estate agents to increase coverage as quick as I can.
Working on the chainsaw for my centaur form factor robot. Have one part to machine then just need to weld everything up and will be ready to try it out. It uses a motor and controller sourced from an E foil, and has 2DOF position control. https://www.satyress.com/buildprogress
I've also been slowly chipping away at a Jagged Alliance 2-like game in Godot. Nothing to share yet but if anyone else is also frustrated that there hasn't been a good video game since Jagged Alliance 2 and you want to work on it reach out to me through the contact in my profile.
An experimental merge queue that takes changes amends/inserts into history instead of dumping at the end
I was actually facing a huge friction problem when it came to closing clients—both at my agency and in a wholesale business I run with my family—because the whole quoting and payment process was really outdated. So, I built a software tool to eliminate that friction; it’s like a live Notion-style interface where the salesperson and client can update the quote and communicate via a public link. That same link allows for approval and payment—using cards or bank transfers, obviously via the Stripe API—and handles everything related to invoicing and sales. It ended up being really useful for my agency, too, allowing me to send clients more professional quotes with a detailed project breakdown so they can clearly see what the work entails and understand the pricing. Honestly, I’ve definitely noticed an improvement in sales.
I grew up coding MUDs (in college) and every year I try to recreate that glory, so I start a fresh MUD code base from scratch.
This year, I am creating a nodejs MUD, well closer to a MUSH actually.
* Everything is an Entity with Attributes * A player is an Entity with its client property set * There's a handful of built-in commands, but the important ones are @eval and @set-attribute * The soft-code language is ... JavaScript. * It uses the vm module from nodejs[0] to execute stuff. * It has separate clients (so far) for Discord, Slack, and local console. It's easy to add more and will be easier after I do this one refactor.
Each time an soft-code command or function or what have you executes, it creates a new context to isolate the soft-code from the rest of the application and uses Proxy objects to isolate the database Entity from the soft-code Entity. As an example, this is the look command (placed on the global registry object):
if (!me.location) {
me.send("You are nowhere.");
} else {
me.send("**" + me.location.name + "**");
const contents = me.location.contents;
if (!contents?.length) {
me.send("You see nothing here.");
} else {
me.emit("You see:\\n" + contents.map(thing => "* " + thing.name).join("\\n"));
}
}
The MUSH outputs markdown for everything, so each client can format it however it likes.
I know the security is not nearly close to perfect, but it's mostly a proof of concept that I will make public one day. I did do a few things, like disable eval and Function and Promise but there's probably plenty of ways to get around it.
A new spec, TPX, which is meant to enable building SaaS where the user brings their own inference:
It has a few potentially interesting side effects:
- enterprises can plug their preferred LLM into the SaaS they use.
- self hosters can extend their rigs into the web.
- simple SaaS products can offer LLM integrations without their entire pricing model being upended by LLM hosting and infrastructure.
- we can all live like Ender in Xenocide and have a personal AI that has context on everything we are doing.
- have a no op provider for people who are anti llm.
I'm working on building a generic desktop controller that you can run from any device. https://github.com/jonocodes/deckd
Originally inspired by the stream deck, but I wanted a more dynamic interface and less hardware restrictions. For example you can use your phone as the controller.
Now it can do a whole lot more. Including mouse, keyboard, media controls. Supports custom buttons types and things like sliders and color pickers. Dynamically switches layout based on foreground app, and can also control which app is in the foreground from the controller itself. Having a lot of fun so there are a bunch more features in the hopper like deeper app integration, and an eink version.
Its a web app/PWA, so no app store needed.
I just released a small app called Fogpane: https://asok.github.io/fog-website/index.html?lang=en
The concept is intentionally simple: you open a photo, it gets covered by a layer of fog, and you use your finger to wipe the fog away and reveal the image underneath – a bit like drawing on a fogged-up window.
I’ve always wanted to publish something on the App Store, so I decided to use this as an experiment: how far can I get while letting AI write the entire app?
For full transparency, essentially all of the code was written by AI. I guided it, described what I wanted, tested the results, reported bugs, and made product/design decisions, but I didn’t really write the implementation myself.
For an app this small, I was surprised by how far this approach got me. It wasn’t completely hands-off – there was plenty of iteration, especially around making the fog and water droplets feel somewhat realistic – but it went from an idea to an actual app in the store.
I’m a software developer myself, which made the experiment particularly interesting. In many cases I understood what the AI was doing, but deliberately tried not to take over and write the code myself.
I installed Codex around three weeks ago. It’s hard to estimate exactly how much time I’ve spent on the app since then, but it’s probably been a couple dozen hours rather than hundreds.
I'm doing a massive AI code review on my lone lisp project. I finished a complete Fable code review, and the experience pissed me off enough I switched from Anthropic to OpenAI. Decided to run an equivalent code review with Sol and compare it with Fable. I'll publish the results on my website when it's done. Some pretty interesting results already. I think I stressed Anthropic's safety classifiers to the max.
Meanwhile, I decided to revive my Rust liblinux project. Rust has come a long way since 2019, notably the inline assembly macro has been stabilized. I will learn Rust this time!
A lightweight ,portable virtual machine that simplifies/replaces need for containers.
I built and run several SaaS platforms: - https://dave-bot.com -> a full-stack AI platform where you can generate videos, images, music, code, 3d objects with frontier Gen AI models.
- https://headsnap.io -> a platform that you can generate images of yourself based on 4 selfies.
- https://quantiq.live -> a service providing financial and historical data for stocks, as well as government trades.
- https://aivestor.tech -> an AI agent that picks small/midcap stocks and trades them using Alpaca API. It uses Reddit, news, polymarket, Google Trends and many other data sources to take investment decisions.
- @Polyglot_lingua_bot -> a voice-enabled Telegram-based bot that can help you learn new languages.
- https://select.supply -> a directory of carefully-curated and well-crafted products.
All of those allowed me to quit my day job and live a comfortable and flexible life. I still invest time in maintenance and adding new features, but I love coding, marketing and everything that comes with promoting and selling a SaaS (and I also have a serious addiction for Stripe notifications).
On top of that, I developed my own software agency where I help clients build and scale software (https://bitheap.ch).
Climbing gym photogrammetry. My idea is that route and climb recordings is best recorded against a 3D climbing gym model, rather than a plan video, and technology has gotten good enough to do with a regular phone.
As a climber myself, to climb effectively, one has to review their own climb, and with other people. 4D video, body positions across time, is very helpful in improving climbing. I managed to get a reasonable result (far from good) from one video, rather requiring multiple camera angles.
Haven't gotten to monetization yet, but I am enjoying every moment of making it.
A read only preview at https://kmcheung12.github.io/climb-preview/w/ae43c6e5
I am building Hiring Method (https://hiring-method.com) – an AI-native, math-driven recruitment platform. It extracts structured scorecards from both CVs and job requirements and mathematically matches them, so you can actually review the exact reasoning behind why a candidate scored a, say, 85%. This fitness value is specified at every interview step – as applicant goes through an interview process their scorecard is updated at all steps.
I did the first Show HN a few days ago (https://news.ycombinator.com/item?id=49083987) but it was sadly left without attention.
A diffusion-based UI design tool I left Figma to build.
My core hypothesis is that LLMs are trained to write consistent code (good for a billing function), but they also express design through code, resulting in consistent design as well.
Diffusion models are just now good enough to do UI, and are trained on a much wider set of visual data, resulting in more unique outputs. LLMs are now good enough to convert images to code very effectively, so the end result is better even though you have to do a conversion.
Here's a page detailing the standard flow: https://diffui.ai/blog/show-hn
And here are a couple sample sites built with it:
https://html.non.io/neonRamen (note - not optimized for mobile)
And here are a couple files showing the designs (requires sign in):
https://diffui.ai/app/canvas/9e03f5c2-91c5-4f96-8f08-b8086e5...
https://diffui.ai/app/canvas/95934269-5dc8-4145-a33a-d3a4dc2...
Happy to answer any q's!
Zero-subscriptions google + social media search mcp/api/dashboard/sdk.
Every $10 gets you 15K google searches + 3K Twitter search/lookups + 2K Reddit + 15K Url fetches as markdown for feeding to your llm's.
Your credits never expire, use them whenever you want to, and you can stack them as many as you want.
Already got 40+ paying customers within a month of launch.
Now trying to add more social media.
A low-cost vibecoding website for non-developers. Still in alpha.
Multi-language libs with implementations in TypeScript/C#/Swift/Zig so that they can be used directly in web or native apps:
- A Markdown parser/renderer (https://github.com/andrewjk/allmark). The TS version of this was hand written and the other versions are AI translations.
- A Git client (https://github.com/andrewjk/gitologist) and a diffs parser/renderer (https://github.com/andrewjk/differator). These were vibe coded in TS, checked and then AI translated.
I’ve used these libraries to build a native Mac Markdown notes app (https://staunchapps.com/stash) and a JS script launcher (https://staunchapps.com/launch).
I'm (solo) spinning off the internal agent knowledge and observability layer used at Motion (YC W20, series C, ~40 devs). It was born out of a need to lift all devs using heterogeneous models, harnesses, and prompting styles to a higher level of consistency and quality while surfacing the visibility to see what's working and what's not. The knowledge layer is integrated into the code review layer and all of it tied together with telemetry to the document section level to see how each piece of context is affecting code generation.
Open source repo (.NET 10 + C# + Postgres): https://github.com/zeeq-ai/zeeq-app
Docs and more info: https://zeeq.ai
I got laid off at the end of April and have been building my own personal dream tool since, it's a skeuomorphic carpentry simulator with an agent MCP. You start with real wood specs and a shop full of miter saws, router tables, table saws and the like. Think of it like Sketchup but no extruding rectangles.
It's been really fun to build with. Agents can create parametric procedures so e.g. stick framing becomes a simple function call for the next agent, building a flywheel. There is full agent-human parity in every surface, so there is a human UI for the procedures too.
Every operation is yaml, so agents pick it up pretty quickly. Agents can also file feature requests when they reach for a tool that doesn't exist. You can export to 3d printing files, video walk-through, step files, get a BOM and a cut plan, view your project in life-size with AR. There is a notion-like interface for authoring build guides... a lot going on. If you're a woodworker/software engineer you might enjoy it.
You can add the MCP to your agent of choice, send a picture, description, sketch or whatever; say "build this with Sawdust"
https://sawdust.diy