
Nearshore: AI for manufacturing
Use AI to create an RFQ & get matched with local factories
What it does
AI + local manufacturing is here! Nearshore has launched the fastest way to get quotes from local factories, cutting down factory sourcing time from months into days. And it's free for businesses to submit one RFQ per month! Trained by manufacturing experts and local suppliers. How it works: 1. Conversational AI creates a professional RFQs in minutes 2. RFQ is shared with vetted suppliers in USA and Latin America and they can bid on the project 3. AI matches projects with local factories
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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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