Yuho
Long-form voice diary built for long, unfiltered recordings
What it does
Yuho is a private voice diary built for long, unfiltered recordings. Talk for 30 seconds or 30 minutes. Yuho transcribes everything locally, captures your location and photos automatically, and keeps your entries on your device. Browse your memories by calendar or map. Share any entry privately or publicly via yuho.io when you choose to. Privacy-first, independently built, and free to try.
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- HAHyper – A stupidly non-corporate voice AI app for IRL conversationsMar 2026 · apps.apple.com · ▲16
Hey HN, we're building Hyper: an iOS voice recorder for the conversations that matter too much to pause and take notes. 1:1s with your cofounder, coffee chats, standups, whiteboard sessions. One tap to record, and when you're done you get a summary, full transcript, and tappable action items (calendar events, reminders, email drafts) — no notes needed. We built this because at our last company (a robotics startup), the most consequential decisions happened spontaneously — in hallways, over lunch, on walks. None of it got captured. Every recorder we tried was built for scheduled Zoom calls…
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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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Dev tools · May 2026 · kilo.ai
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com