Lessons learned from running Claude Code swarms at scale

Show HN: I indexed 37h of my videos using an RTX 4090 and local ML models in 24h

Lessons learned from running Claude Code swarms at scale is active in the show hn launch space.

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TLDR: Following my recent blog post and Hacker News post (https://news.ycombinator.com/item?id=48528029). where I ran the desktop app on my M1 Max. This time, I’m using the self-hosted version, running in Docker, with an NVIDIA RTX 4090 (24 GB of VRAM).The content is also fundamentally more demanding: long podcast episodes with at least two faces in every frame, coding tutorials packed with on-screen text, and screen recordings. GoPro footage is mostly wide outdoor shots.But NVIDIA was much faster than my M1 Max.The longest video was a livestream of 3h 12m indexed in 1h 52m (4,612 frames analyzed).You can directly see the processing jobs results in JSON format here: https://gist.github.com/I

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

The company is listed at the Show HN launch stage of development.

Website: news.ycombinator.com/item?id=48528029