# I indexed 37h of my YouTube library using an RTX 4090 and local ML models in 24h

> Source: <https://news.ycombinator.com/item?id=50329475>
> Published: 2026-11-01 20:30:06+00:00

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|  |  | [I indexed 37h of my YouTube library using an RTX 4090 and local ML models in 24h](item?id=50329475) | 
|  |  | 2 points by [iliashad](user?id=iliashad)[19 minutes ago](item?id=50329475) \|[hide](hide?id=50329475&goto=item%3Fid%3D50329475) \|[past](https://hn.algolia.com/?query=I%20indexed%2037h%20of%20my%20YouTube%20library%20using%20an%20RTX%204090%20and%20local%20ML%20models%20in%2024h&type=story&dateRange=all&sort=byDate&storyText=false&prefix&page=0) \|[favorite](fave?id=50329475) \|[3 comments](item?id=50329475) | 
|  |  | TLDR: I indexed 37 hours and 38 minutes of my videos using the self-hosted Docker version of my project on a rented RTX 4090 - Total compute time: 24 hours 13 minutes - Frame analysis took ~85% of the time - Heaviest plugins: TextDetection (especially on coding/screen recordings) and FaceRecognition (on podcasts) Full article here: https://iliashaddad.com/blog/i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h |