Building Meldhive for people who wanna start but don't know how to validate if the needs out there were true. It finds what your market is already saying about your problem space, across Reddit, X, TikTok and more. Structures it into a report way with data.Most founders write in their own language. Their customers use different words entirely.Free and early access - meldgtm.space

Would like to hear your thoughts and feedback than anything.

I'm working on heytavi.com

I was interested in building a product for which 1. the agent is the whole product, not just a component of it; and 2. solves a specific problem out of the box.

Tavi is a deep people search agent that lives in Slack. We used it to find our founding engineer and our first customers are a mix startups, recruiters and VCs.

Fast, customizable, and extensible dock application -- fully written in Python, with built-in applets and full Linux desktop integration.

https://docking.cc

I track my learning and schedule repetitions in google sheets. But Google sheets sucks on the phone. So I built a dumb frontend reading off of my (public) google sheet which just has 4 columns for links, title, dates and wait times, plus a formula. Webapp pulls the sheet as csv, renders as color coded lists and a couple charts. Chart shows what's due this week on a 15 week timeline. This is the simplest luddite version I could come up with. I don't have a way to share this with others except sharing the source. Not introducing complexity from auth, storage, managing updates from the app, etc.

I bought an old iPhone 4s, experimented with legacy modding. I tried using the old Theos/iOS toolchain to make my own tweak but it was archaic and broken. So I spent my weekend fixing it up, modernizing the toolchain into being (mostly) usable on WSL.

We're working on Webhound - budget controlled long-running deep research. You set a budget and Webhound will use that much in compute/LLM tokens to research your prompt, with built in verification cycles and optional added verification budget. Every claim is cited with evidence and a direct link to the tool calls that produced the claim

The goal is to build a deep research product for actual researchers, since we believe that it is an extremely powerful product that is still nascent but has enormous potential - which we've already seen with some early users.

https://webhound.ai

I created a dashboard for stability of OpenClaw and Hermes. It shows stability score(10 is the most stable) which is calculated by analyzing Github issue by GPT.

Lots of friends asked me which version of OpenClaw/Hermes are recommended as a stable version. I've no clue of it, and I don't updated my OpenClaw/Hermes very often to avoid unstable versions frequently. So I created the Agent Watch dashboard.

https://agentwatch.aicompass.dev/

Exploring use cases of world models. I know its a rather vague term, I'm primarily interested in generative models that can create new 3D scenes, in formats such as gaussian splats. Just finishing writing up my PhD thesis (3D modelling of industrial assets) at the moment, so hoping to get more into it soon. If anyone has any thoughts about this space, I'd love to chat!

I've been going through Nora Sandler's Writing a C Compiler book and writing a compiler in Python. I'm excited to start the chapters on optimization - those seem like the most fun algorithm problems.

I recommend the book. It certainly isn't easy (maybe 3x harder than Crafting Interpreters), but I've learned a ton (eg how to deal with operations on different sizes of types, or the trick of using pseudoregisters to avoid having to figure out registers up front).

https://github.com/jmikkola/writing-a-c-compiler-python

I’m working on a story time utility.(https://bedtimebookhelper.com/)

You build up a library from your physical books by scanning them in or discover OpenLibrary books to read in app. Then as you mark books in your library as read, it starts building a rotation and recommending books you haven’t read recently. I’ve been using this nightly to track my son’s 1000 books before kindergarten for the last couple of months.

Currently, I’m working to get the app out on Google Play and adding multiple story time attendee support.