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sanchitmonga22

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  1. Launch HN: RunAnywhere (YC W26) – Faster AI Inference on Apple Silicon (github.com)

    Hi HN, we're Sanchit and Shubham (YC W26). We built a fast inference engine for Apple Silicon. LLMs, speech-to-text, text-to-speech – MetalRT beats llama.cpp, Apple's MLX, Ollama, and sherpa-onnx on every modality we…

    240 points 57
  2. Fastest LLM decode engine on Apple Silicon. 658 tok/s on M4-max,beats mlx by 19% (runanywhere.ai)
    5 points 1
  3. Show HN: On-device browser agent (Qwen) running locally in Chrome (github.com)

    Demo of LOCAL Browser agent (powered by Web GPU Liquid LFM & Alibaba Qwen models) opening the All in Podcast on Youtube running as a chrome extension. Source: https://github.com/RunanywhereAI/on-device-browser-agent…

    19 points 6
  4. Runanywhere – Make every CPU and GPU count (github.com)
    5 points 2