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Xybrid

run LLM and speech locally in your app (no back end, Rust). Cross-platform on-device AI toolkit. We started building it while working on a privacy-focused LLM app with Tauri and realized there wasn’t a straightforward way to embed models directly into shipped applications without relying on a separate server process.

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  1. I wrote a 1-bit WebGPU runtime to run a 1.7B LLM in the browser

    aidekin.com

    Drop in one script tag and your visitors get a private voice and text AI assistant that runs entirely in their browser. No backend, no API keys, no per-message cost. Open source.

    Hacker News5점

  2. Run AI models directly in the browser

    private-ai-chat.vercel.app

    no server or internet required

    Hacker News11점

  3. I built a tool to check if your computer can run LLMs locally

    caniusellm.com

    Built a simple web app that tells you which open-source LLMs will work on your hardware.

    Hacker News8점

  4. I built an open-source answer engine that runs local LLMs

    github.com

    🔍 AI search engine - self-host with local or cloud LLMs

    Hacker News5점

  5. Llmpm

    llmpm.co

    NPM for LLMs

    Hacker News6점