I'm building SMS alerts for Kalshi market movements, upset alerts, big trades, specific teams and more. Starting a private beta (if interested, send a message via X @OddsLineSMS).

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...

After fully developing https://github.com/nuwainfo/ffl and https://github.com/nuwainfo/ffl-mcp, I’m now working to make ffl an agent‑first file transfer/delivery platform. But the company is running out of money, and after dealing with employees lying to get salaries, I plan to build a company that’s almost entirely remote and staffed by AI workers.

I’m using my company’s long‑term org chart and culture to shape the Grokbot team, and building mcp (like MIS/mail/kanban/ERP) for them, so that AI employees can work fully autonomously and operate independently. I really enjoy this process and this team—it’s exactly what I’ve always envisioned. Once things run smoothly, I’d like to open source them.

Right now, ffl serves as the data plane, while https://www.mailtrigger.net/doc/ works as the control plane, and the system is running very well. I hope my company can successfully transform.

I’m building my own OAuth provider. I know there’s a lot of options out there but I’ve built one at work for the last 5 years and I’d like to “do it right”

[HYBRID]

Eylo (a take on Hello) a voice first agent platform, multi-tenant, focused on B2B2C use-cases - https://github.com/DigiCred-OSS/eylo-os

It’s a distilled fork of a closed source product that we are offering to our customers.

https://stockchat.sh - a local stock research app you ask in plain English; the numbers come from code over SEC filings and daily prices on your machine, the model only picks which tool to run.

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

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.

Working on an open source graph of physics equations, quantities, and their connections to each other, to help learners connect concepts: https://anacoda.github.io/OpenFormulaGraph/

Injee - The no configuration instant Database for front end developers.

https://injee.codeberg.page/