I made an AI prompt manager to stop rewriting the same prompts
I made EchoStash. If you’ve ever written a great prompt, used it once, and then couldn’t find it again — I’ve been there too. I kept losing my best prompts in chats, notes, or random documents. Every time I started a new project, I ended up rewriting the same stuff or wasting time trying to remember where I saved things. So I built EchoStash — a simple tool for developers who use AI tools regularly. It helps you save, organize, and reuse your prompts. You can tag them by project or tool, and when you need something, just search. The cool part? EchoStash has AI-powered search. You don’t need…
What it does
In the maker’s words, at launch
I made EchoStash. If you’ve ever written a great prompt, used it once, and then couldn’t find it again — I’ve been there too. I kept losing my best prompts in chats, notes, or random documents. Every time I started a new project, I ended up rewriting the same stuff or wasting time trying to remember where I saved things. So I built EchoStash — a simple tool for developers who use AI tools regularly. It helps you save, organize, and reuse your prompts. You can tag them by project or tool, and when you need something, just search. The cool part? EchoStash has AI-powered search. You don’t need to remember the exact words — just type what you’re looking for, and it’ll find the right prompt. It’s fast, minimal, and built to save you time without getting in the way. Would love feedback from devs working with LLMs or building AI workflows. --> https://www.echostash.app
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Echologue – the private AI voice journal I built for myselfJul 2026 · echologue.com · ▲29I have tried journaling many times but nothing stuck. So I decided to make my own app for myself with these features: * Voice first * Private first * AI chat * Automatic tagging, meaning extraction, and semantic retrieval using embeddings stored locally * Export to LLM the AI angle is especially interesting for me. It allows me to ask questions like: * "remind me highlights and crazy nights in the last 3 months" * "How was I feeling during my trip in Spain and how big of a problem was my breakup" * "How would you judge my overall interactions with Marc after I told him about my problems" the…



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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…
AI · 27d ago · cactuscompute.com


Launched alongside, May 2025
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