roastme.gg
Get roasted. Publicly.
What it does
Pay to get publicly roasted by AI. Drop your X handle or a website, pick how hard it should hurt ($1 to a $1,000+ scorched-earth tier), and Claude writes a roast based on nothing but the name and the vibe it gives off, no bio, no posts, no scraping. Every roast lands on a public leaderboard ranked by price paid, with a shareable card for X.
A closed archive of AI-written roasts. People paid to have their own X handle or website torn apart in public, and the wall ranks them by how much it cost.
ownthe.day, coined by someone who's never owned so much as a Tuesday, let alone a whole day, judging by the domain because the real .com was taken. The crown went to whoever paid more. Nobody can pay any more, so it stays here. Submissions are closed for good. If you want visibility, go to makers.page instead. ownthe.day, coined by someone who's never owned so much as a Tuesday, let alone a whole day, judging by the domain because the real .com was taken. copycat.fyi couldn't even be bothered to steal an original domain name for its brand about stealing things. sumrift.lol: sounds like a summarizer app that couldn't afford the vowels or the confidence to drop the .lol, so it apologizes for…from roastme.gg
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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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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
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