työ. by vaivatta.
work hassle-free but in control - beta launch
What it does
Governed, multilingual customer messaging: every reply is human-approved, with EU data residency. Try it live. 1. The customer writes in any language, from any channel. työ translates it and routes it to the right person automatically. 2. AI drafts a reply grounded in your business's knowledge and tone of voice, a ready reply is waiting in seconds — never a blank page. 3 A human approves! Your team reviews, edits and sends. Every reply carries a human's sign-off — always.
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SendReadyJul 2026 · ramune441.github.io · ▲9AI polish, translate & reply in any text field — one tap
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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


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