TabJudge
An AI judge that puts your open tabs on trial
What it does
Click the gavel icon on any webpage and get an instant AI-generated legal verdict, complete with charge, evidence, sentence, and a final word from the judge. Free to start, no account needed. Light & dark mode, 8 languages, and zero setup.
One click. Get a savage AI verdict on any webpage you
One click. Get a savage AI judge to roast any webpage you're visiting. Guilty as charged. Open any webpage, click the gavel icon. The AI judge reads the page content and delivers a personalized, savage verdict in seconds. GUILTY · NOT GUILTY · CONTEMPT OF COURT · SUSPENDED SENTENCE · COMMUNITY SERVICE. Severity ranges from LOW to MAXIMUM. Every verdict is saved. Browse your case history, expand any entry for the full evidence, sentence, and judge's final word. Switch instantly between light and dark themes with one click. Your preference is remembered automatically. Install and it works immediately. No signup, no login. Only the page content is read to generate your verdict. News, social…from cfireinnovations-tabjudge.netlify.app
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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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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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.
AI · 16d ago · simedw.com