I made a Chrome extension that filters your YouTube feed with a small local model running in the browser (WebGPU, no server)

Reddit r/LocalLLaMA Tools
chrome-extension on-device webgpu onnx youtube-filtering privacy

Summary

A Chrome extension that filters YouTube feeds using a small on-device ONNX decision model (opendecider-nano) running via WebGPU/WASM with no server or API calls. On 400 videos it achieves 0.934 balanced accuracy on rules like "hide music" or "only news", and can also flag prompt injection in selected text.

My YouTube feed was mostly songs, pranks and celebrity clips, so I built a filter that judges each video title with a small decision model running inside Chrome. Nothing is sent anywhere: no server, no API key, no account, and after one download it works offline. What it does - Hides the kinds of video you choose (11 kinds: music, gaming, comedy, vlogs, news, how-tos, and so on), or follows a rule you write: "Hide videos about crypto", "Show only videos about cooking" - Hides Shorts with one switch - Bonus: select any text, right-click, and check it for prompt injection with the same model How it runs - The model is opendecider-nano (ONNX), loaded through ONNX Runtime Web in an offscreen document - fp16 on WebGPU (755 MiB download), q8 on WASM without a GPU (569 MiB) - 40 video titles: 1.1 s on WebGPU, about 15 s on CPU (M4 Max). About 3 GiB of RAM while loaded; it unloads after 10 idle minutes - The weights are pinned by revision and SHA-256. The only network requests are to Hugging Face for those files How well it works - On 400 YouTube videos, with the creator's category as the label, rules like "hide music", "hide gaming" and "only news" score 0.934 balanced accuracy on average - Sorting videos into the 11 kinds is harder: 0.780. Expect a few comedy and talk-show clips to get through the Focus preset - Only evaluated on English titles. If you watch in other languages, I'd really like to know how it does Try it (Web Store version is in review): Download opendecider-focus-0.8.1.zip from https://github.com/manjunathshiva/opendecider/releases/latest and unzip it chrome://extensions → Developer mode → Load unpacked → pick the folder Click the icon → Download the model Apache-2.0. Benchmarks, code and limits: https://manjunathshiva.github.io/opendecider/guides/chrome-extension/ The idea comes from Quietly, which does this with a cloud API; I wanted the same thing running on-device. Feedback welcome, especially what it gets wrong.
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