Still hacking on some data tools:

DuckDB for stream processing:

https://github.com/turbolytics/sql-flow

Lightweight kafka stream processing using DuckDB as the execution engine. 300MiB runtime can easily handle thousands of messages / second.

Working on a Kafka Connect alternative:

https://github.com/turbolytics/librarian

Right now mongo replication (through changestreams) is supported to kafka. Working on Postgres support right now.

I created a RescueTime alternative for KDE Plasma. It runs in the background as a daemon and records time spent on each window in a SQLite database. Next step here would be to add a Firefox extension, since a lot of my time is spent browsing the web.

Tracking windows on Wayland is hard because the protocol doesn't support it. I hacked together a script using Claude Code that somehow works, but I barely understand how.

https://github.com/alabhyajindal/timeowl

Still capturing index of the Internet

https://github.com/rumca-js/Internet-Places-Database

Reviving a dead PHP bytecode vm for embedded systems:

https://github.com/alganet/PHL

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Bootstrapping from an x86 image that is mostly source text (based on live-bootstrap):

https://github.com/alganet/abuild

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Image with many shells, for testing script for portability:

https://github.com/alganet/shell-versions

I've been exploring getting some deeper experience with Claude Code (my org only allows Copilot) and exploring vibe coding by using CC to design a functional programming language that transpiles to JS and build out a full language specification and the tooling to go along with it. I haven't pushed anything to Github yet but it's been very educational, and also a little terrifying to see how easy it is now to produce tens of thousands of lines of code that you totally don't understand.

Working on adding Apple Intelligence to my macOS app built to analyze iOS app size metrics. I'm hoping to have a locally running assistant that can act like an iOS build engineer to provide optimization opportunities and more: https://apps.apple.com/us/app/dotipa/id6742254881.

Right now my app allows users to export build metadata as JSON which can be interpreted by LLMs for analysis, but I'd like to have this work on-device.

https://www.ottoclip.com - Create product-focused content that stays in sync with your product.

Create a script for a product demo or tutorial for your app using an extension. The script is used to generate your product content in multiple formats (narrated video, interactive demo, looping animation, and in-app guide). Whenever your product changes, just update the script and regenerate everything. No manual re-recording of video, syncing of audio, or any other post-production steps.

A TUI to monitor your OpenAI and Anthropic usage inside your terminal.

https://github.com/htin1/toktop

I use codex and claude code daily, also build apps with openai and anthropic api keys, so i always go to openai dashboard and anthropic dashboard to track my usage. Since I spend most of times inside cursor or terminal, I wanted to quickly check my usage without leaving my terminal/ide, so i built this!

It's open-source, MIT, and built with ratatui (awesome name).

I'm building my take on a low-touch task completion assistant designed to counter distraction and hyper-habituation.

It's starting off as a MacOS app because that's the machine I have. I didn't know Swift or SwiftUI when I started. I now know them somewhat, but the entire app has been vibe-coded. This has made it slow going. Very "1 step forward 2 steps back" until I switched from Claude Code to Codex and GPT-5.

I'm hoping to start an initial beta within the family in the next week or two, and then a wider round in January.

I've been building SageNet, a voice-first AI coach that turns your goals into structured, adaptive learning plans.

After a 2-minute voice conversation, Sage generates a personalized 6-module roadmap with build-first projects. It checks in by voice, analyzes your reflections, and regenerates your plan if needed. You can invite friends to your Support Squad for accountability.

The biggest insight so far is people don’t want “infinite content.” They want structure and someone who remembers them.

would love feedback!

http://sagenet.club