
Thorbok Tech
Luminous braille & wearable tech for accessibility
What it does
I’m Mason Ewing, a blind founder turning vision loss into innovation. Thorbok Tech builds next-gen wearable interfaces, starting with luminous braille through Madison Color to enhance independence. Our mission goes further: AI, robotics, and future medical research to restore sight and transform accessibility. We’re building technology with purpose, and looking for partners and investors to shape this future.
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- ICI created a PoC for live descriptions of the surroundings for the blind2025 · github.com · ▲73
The difference in cost between products that are developed as accessibility tools compared to consumer products is huge. One example is camera glasses where the accessibility product costs ~$3000 (Envision Glasses), and the consumer product costs ~$300 (Ray-Ban Meta). In this case the Ray-Ban Meta is getting accessibility features. The functionality is promising according to reviews, but requires the user to say "Hey meta what am I looking at" every time a scene is to be described. The battery life seem underwhelming as well. It would be nice to have an cheap and open source alternative to…
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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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


