Automating status updates using Git log and LLM
Hi HN, I built a simple tool that summarizes your team’s git logs into a weekly update that teams can send to leaders, other teams, etc. I hated writing the same update multiple times a week to everyone asking “what’s the status of X” Copy your repo’s commit logs with git log —all —since=“1 week ago”, paste them, and get a well-formatted update. Planning to add Github integration to further automate. Curious what folks think.
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- LALogis – a searchable scientific log in your Git commit history2025 · github.com · ▲6
I built this tool that auto-commits your code when you run an experiment, storing structured metadata in the commit message. A bit like `wandb` but local. There is a small CLI that lets you query for (e.g.) `metrics.accuracy > 0.9`, to find the code state that produced a good results. This is the first release, and there are quite a few planned features if anyone wants to submit a PR.
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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…
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