I'm working on a book about using WebViews for cross-platform music software GUIs. It has a particular focus on performance, which I gave a talk about at the Audio Developer Conference last year:

https://www.arthurcarabott.com/adc-2024/

As part of it I am building a code generator to generate shared type definitions in C++ and TypeScript (plus serialization, comparison and cloning).

Assets — Personal Wealth Tracker https://github.com/venil7/assets A self-hosted net worth and portfolio manager. Track multiple portfolios (ISA, General, Pension, Crypto, etc.) and monitor individual or total performance. Supports any asset available via the Yahoo Finance API, automatically converts to your base major currency.

I'm building a Twitch streamer focused version of cameo. The first beta version is specifically for League of Legend streamers.

https://demo.replays.lol/clipper (recording the demo video today).

The idea is that a generic video message doesn't appeal to a fan of a video game streamer, instead what really would be cool would be watching them react to your best moment in a game.

Our software removes all friction from the journey, the fan doesn't even need to record their own gameplay, we have bots set up that can load up someone else's gameplay just from their username, record their highlight for them, upload it to our platform, then the streamer just needs to come in, watch a ~60 sec clip, give a genuine reaction, press 'submit' and its all done.

There's a few markets I'm trying to find product market fit in: ~1-2 minute coaching sessions, sports commentator style commentary over your clip from influencers, hyped up reactions from your favorite streamer, a community-focused segment on a stream of watching a compilation of your fan's best moments.

We're ready to launch, just trying and struggling to find the first few people to sign up.

I'm currently in a group project for my edtech entrepreneurship course where we've launched a start-up website off of lovable, which provides an ai chatbot that helps check CVs and run mock interviews for finance and consulting students looking for internships: https://next-step-craft.lovable.app . Test it out now!

Working on https://libredesk.io/

It's a modern, open source, self-hosted customer support desk.

https://voicesinmyhead.co/ - AI-powered voice dictation. 5x faster than typing.

I’m working on a platform to run a friendly competition in “who builds the best reasoning AI Agent”.

Each participating team (got 300 signups so far) will get a set of text tasks and a set of simulated APIs to solve them.

For instance the task (a typical chatbot task) could say something like: “Schedule 30m knowledge exchange next week between the most experienced Python expert in the company and 3-5 people that are most interested in learning it “

AI agent will have to solve through this by using a set of simulated APIs and playing a bit of calendar Tetris (in this case - Calendar API, Email API, SkillWill API).

Since API instances are simulated and isolated (per team per task), it becomes fairly easy to automatically check correctness of each solution and rank different agents in a global leaderboard.

Code of agents stays external, but participants fill and submit brief questionnaires about their architectures.

By benchmarking different agentic implementations on the same tasks - we get to see patterns in performance, accuracy and costs of various architectures.

Codebase of the platform is written mostly in golang (to support thousands of concurrent simulations). I’m using coding agents (Claude Code and Codex) for exploration and easy coding tasks, but the core has still to be handcrafted.

Currently working on building my first 3D printed star tracking rig for astrophotography (via the incredible OpenAstroTracker project) and beginning to think through a 3D printed Dobsonian telescope. Also working on some ceramic glazing techniques to try and make cool gas giant-looking tiles. I'm on a real space kick right now!

A structural biology viewer/editor/CAD-style application. Combines functionality similar to PyMol, Coot, VMD, and GROMACs. Open-source, standalone executable. Built in Rust and CUDA.

And the host of bio libs required to do it. The sort of thing that are mature in Python, for example, but I needed to build for Rust.

https://www.athanorlab.com/daedalus

I’m currently creating a simple community where people can honestly share their emotions and empathize with others’ feelings (without comments). It’s a web community where users can receive a comforting message from AI based on emotion analysis of their text, emojis, and chosen colors.

If you have any ideas or comments for improvement, feel free to reply anytime! (For reference, this service is designed for Korean users — I’m Korean myself.)