RoastMe
Get personalized AI roasts of your name and bio
What it does
Think you can handle it? Enter your name, bio, or anything you want and get a personalized roast from TechyGuy.
TechyGuy — Internet Things, But More Fun. Try RoastMe: enter your name or bio and get a personalized, savage roast.
Some people spend their lives avoiding the truth. You clicked into a website and asked it to roast you. Give RoastMe a few details about yourself — your bio, your habits, your interests, or your questionable life choices. We'll turn them into a roast worth remembering. The internet is full of things that take themselves far too seriously. TechyGuy started with a simpler idea: make useful internet experiences a little more fun. RoastMe is where that idea begins. No lectures. No boring forms. Just a little chaos, done properly. Startup Spotlight puts your project inside the TechyGuy experience through contextual, memorable mentions — instead of another banner competing for attention. Wait,…from techyguy.online
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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 · 17d ago · simedw.com