Hi HN, I'm the builder. I realized that using cloud AI APIs for sensitive workflows—like transcribing board meetings, OCRing employment contracts, or cleaning up ID photos—is a massive privacy liability. So I built a client-side workspace using transformers.js, Whisper, and WebGPU. Everything runs locally. You can turn on Airplane Mode after the initial model load, and it still transcribes and extracts text perfectly. To keep myself honest, I wrote a technical audit of how the data flows (or rather, doesn't flow). My only backend is a tiny 2-core node in Singapore running self-hosted Plausible analytics: [ https://gist.github.com/ygx2378/3275b333504c6a9def50ef531b54... ] I'm still learning the ropes of browser-based memory management, so I'd love your feedback on how the models load on your specific GPUs! Comments URL: https://news.ycombinator.com/item?id=47813703 Points: 1 # Comments: 0
Hi everyone, I built a small tool called GitShrink to solve a simple problem: making videos small enough (<10MB) to upload to GitHub. It runs entirely in the browser, so nothing is uploaded anywhere. Website: https://igtumt.github.io/gitshrink/ GitHub: https://github.com/igtumt/gitshrink It’s a small, local-first tool with no accounts, no tracking, and no backend. Use cases: README demo videos Small product demos Screen recordings for GitHub Feedback is welcome. Comments URL: https://news.ycombinator.com/item?id=47806514 Points: 2 # Comments: 1
 我的计算机哥哥于勒 这是啥物种? 6 个帖子 - 3 位参与者 阅读完整话题
 https://img.bjedu.tech/file/1776129525415_3.mp4 https://img.bjedu.tech/file/1776129542205_10.mp4 https://img.bjedu.tech/file/1776129533767_9.mp4 15 个帖子 - 12 位参与者 阅读完整话题