
TSUKUYOMI AI Intelligence Framework
TSUKUYOMI is an advanced Modular Intelligence Framework
TSUKUYOMI AI Intelligence Framework launched on June 7, 2025 with 12 votes, #2,031 of 8,889 launches that month and more than 75% of that year's launches.
What it does
TSUKUYOMI is an advanced modular intelligence framework designed for the democratization of Intelligence Analysis via systematic analysis, processing, and reporting across multiple domains. Built on a component-based architecture.
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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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Source: Product Hunt launch ↗
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I was the main contributor to workout.lol, an open-source fitness app to easily build a workout routine. The project had traction (1.4k GitHub stars, 95 forks, ~20K visits/month), but was eventually sold due to video licensing hurdles. The new owner stopped maintaining it, and the repo went abandoned. Over the next 9 months, I sent 15 emails to try to save it : no replies. Feature requests & issues were ignored. The community was left with a "broken" tool let's say. I couldn't just let it die So I built the new version from scratch with the same open-source spirit, but a better…
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