Ramble
Think out loud. Get perfect prompts.
What it does
Most people get mediocre AI results - not because the model is bad, but because their prompts are vague and scattered. Ramble fixes that. It's a Chrome extension that sits on top of any LLM and turns your rough thinking into a clear, structured prompt. You think out loud. Ramble cleans it up. One click. Works with ChatGPT, Claude, Gemini, and more. Free: 3 prompts/day. Pro: $9 once, unlimited, no subscription ever.
Does the same job
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PromptVaultMay 2026 · mypromptsvault.com · ▲4Save & reuse AI prompts in 1 click — ChatGPT, Claude & more
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I really struggle to keep my notes organised, and often can't make any sense of hand written notes after meetings. I did some experiments with Claude and ChatGPT where I blast random thoughts at them during a meeting or brainstorming session and then have them output a nice document that pulls it all together at the end. It worked incredibly well but it was a bit cumbersome to keep sending messages to the chat and telling the ai each time what to do. So I took the idea and built a tool, it makes it easy to throw random notes and voice recordings (images and document support on the way) and…
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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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