Andrej Karpathy Launches HackerTube With 6,454-Video Catalog
The catalog draws on 39,834 Hacker News comments, groups videos into 150 topics and uses Claude models to sort recommendations.

AI researcher Andrej Karpathy launched HackerTube on Saturday, Oct. 31, organizing years of video recommendations in Hacker News comments into a 6,454-video catalog that shows how AI can process a large community archive.
The videos span 2007 through 2026 and are sorted into 150 topics. The project uses 39,834 comments, or about 40,000 when rounded. HackerTube is a YouTube-style discovery site where visitors can browse the recommendations by topic.
Karpathy described a two-stage process for building the catalog. Claude Opus 5.5 downloaded and filtered the comments, then Claude Sonnet, in a Claude Code workflow, screened for spam and identified video recommendations.
Karpathy estimated the project took about two hours. He identified three manual tasks: creating a Google Cloud API key to retrieve YouTube metadata, starting a virtual private server and buying the domain. “This takes ~2 hours now. I can breathe again,” Karpathy wrote.
Each video page uses a frame from the video’s midpoint as its thumbnail. The site also offers keyboard shortcuts and a data export. Visitors can browse without an account, and recommendation state is stored in the local browser session.
Karpathy reported 504 million input tokens, 90% of them cached, and 7.6 million output tokens for the project. Sonnet’s comment-labeling calls accounted for more than 90% of the project’s usage. Building and deploying the site used about 1 million Opus 5.5 tokens. Karpathy said he was on a subscription when he asked Claude to total the usage; he did not give a dollar amount.
The catalog turns recommendations from one online community into a topic-based video index. Karpathy’s two-hour estimate describes this project and does not establish a typical development time or cost for similar sites.