Edge-AI device that analyzes my cannabis grow, nothing leaves the LAN
A retired software developer learns Edge AI and builds a grow-tent device that analyzes his cannabis plants on the device itself — nothing leaves the house.
What it does
Notes on retiring from a software career — and building an AI device for my grow tent that keeps everything in the house. This year, it became time for me to retire from my lifelong career in software development. Like most things, the situation was a dichotomy: I was tired of task lists and meetings and schedules and difficult people; but at the same time, I was having more fun making software than I ever had in my entire life, because of AI. I’m one of those software developers that doesn’t fear being replaced by AI — it can’t, I’m retired; if I were a recent college grad I might see it differently. To the contrary, I’m very grateful that code…from croplock.com
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 29d ago · cactuscompute.com


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OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 4d ago · opentrailpaper.com


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