AI-powered fitness & nutrition tracking — free & open source.
From the workshop
Notes on building a private, open-source fitness app — from product decisions to the technology behind it.
I put Musclog on a 1998 cartridge — 517 foods in ROM, macro goals packed into 23 bytes of battery-backed SRAM, charts drawn with background tiles, and 291 free bytes in the one bank that cannot be paged out.
A €20 sensor, a RandomForest, and Claude writing the ML code because I have no idea what spectral entropy means.
Musclog started in 2024 as an app I built for myself. Version 2 is a full rewrite — new UI layer, one database instead of two, and a much clearer answer to the question of where your data lives.
