Bot Shelf
Stop selling prompts. Sell jobs that already ran.
What it does
Bot Shelf is a shop for Grok Bot, Claude Code, and ChatGPT jobs that already ran, not prompt dumps. Free packs stay free. Sellers list a job that already ran and name a USDT TRC20 price (shop 20% / seller 80%). Card/Stripe is off. Public paid shelf stays gated until evidence, a Yes-gate, and buyer blanks. No after-follow. No invented GMV.
Ready-to-use AI teams on BotShelf — free and paid. Run on Grok Bot, Claude, or ChatGPT. Markets teams for gold and more. Gold Session Desk 300 USDT / month. Analysis only.
Free and paid ready-to-use AI teams for real jobs. Pick by what you need done — then run it on your AI. Grok Bot ready-to-use teams marketplace — also Claude & ChatGPT. Grok Bot hub · AI teams · Not an official xAI shop. Free team bodies unlock after email register. Paid monthly rentals: USDT TRC20 only — card not available. On marketplace sales, 80% seller / 20% shop fee. Built for Grok Bot — and easy to keep working with your other AI agents. Each team is built for one clear job. Run it on Grok Bot , Claude, ChatGPT, or another AI agent. You can even pair the official xAI Haggle Bot with other agents when that fits your workflow. Asia · London · New York — fresh analysis that follows how…from botshelf.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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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