{"slug": "i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h", "title": "I indexed 37h of my YouTube library using an RTX 4090 and local ML models in 24h", "summary": "Iliashad indexed 37 hours and 38 minutes of his own YouTube video library in 24 hours and 13 minutes of total compute time using the self-hosted Docker version of his project on a rented RTX 4090, he reported on Hacker News. Frame analysis consumed roughly 85% of the processing time, with the TextDetection plugin the heaviest load on coding and screen recordings and FaceRecognition the heaviest on podcasts.", "body_md": "| [Consider applying for YC's Winter 2027 batch! __Applications__ are open till November 2.](https://www.ycombinator.com/apply/)[Guidelines](newsguidelines.html) \\|[FAQ](newsfaq.html) \\|[Lists](lists) \\|[API](https://github.com/HackerNews/API) \\|[Security](security.html) \\|[Legal](https://www.ycombinator.com/legal/) \\|[Apply to YC](https://www.ycombinator.com/apply/) \\|[Contact](mailto:hn@ycombinator.com) | \n\n|  | **[Hacker News](news)**[new](newest) \\|[past](front) \\|[comments](newcomments) \\|[ask](ask) \\|[show](show) \\|[jobs](jobs) \\|[submit](submit) | [login](login?goto=item%3Fid%3D50329475) | \n\n|  |  | [I indexed 37h of my YouTube library using an RTX 4090 and local ML models in 24h](item?id=50329475) | \n|  |  | 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) | \n|  |  | 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 |", "url": "https://wpnews.pro/news/i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h", "canonical_source": "https://news.ycombinator.com/item?id=50329475", "published_at": "2026-11-01 20:30:06+00:00", "updated_at": "2026-11-01 20:51:01.842361+00:00", "lang": "en", "topics": ["machine-learning", "computer-vision", "ai-tools"], "entities": ["Iliashad", "YouTube", "NVIDIA RTX 4090", "Hacker News", "Docker"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h", "markdown": "https://wpnews.pro/news/i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h.md", "text": "https://wpnews.pro/news/i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h.txt", "jsonld": "https://wpnews.pro/news/i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h.jsonld"}}