FactTracker
Track claims and see who’s actually right
What it does
FactTracker captures public claims, matches them with real-world outcomes, and builds accuracy scores for people and organizations. It filters out noise from popularity or reach and surfaces who consistently gets reality right. A structured feed of claims, predictions, and results reveals which voices deserve attention based on demonstrated accuracy, not volume.
Does a similar job
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Facts...No Bullsh*tMar 2026 · factsnobullshit.up.railway.app · ▲84Stop BS in real-time with AI that fact-checks as you listen

Generative AI for Factual Content2023 · ▲196Gen AI tools for factual, source-based, & up-to-date content
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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 · 27d ago · cactuscompute.com


Launched alongside, November 2025
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