Karpathy publicly described building and deploying HackerTube in roughly two hours using Claude Opus 5.5
FollowingDay 22 sourcesupdated 1 Nov 2026
Karpathy Built HackerTube from 43M HN Comments in Two Hours With Claude
The gist
The project is a concrete example of a solo developer compressing what Karpathy described as work that would normally take weeks or months into a two-hour session using an AI coding assistant. It also produces a publicly available dataset others can reuse.
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The full picture
Andrej Karpathy used Claude Opus 5.5 to analyze 43 million Hacker News comments spanning 20 years, extract 6,454 YouTube video recommendations engineers had repeatedly made, and build and deploy a browsable website called HackerTube. The project took roughly two hours on Claude's Medium effort setting. Karpathy's only manual steps were creating a Google Cloud API key, spinning up a VPS, and buying the domain; Claude handled data analysis, code writing, security hardening, and deployment. HackerTube uses a representative mid-video frame as its thumbnail rather than A/B-tested uploads and avoids algorithmic recommendations. The underlying comment-analysis data is available as a zip file for others to build their own versions.
How it developed
Sources
Rohan Paul on X
- DeepSeek V4-Pro open-weight release
- Google DeepMind agentic video understanding for Gemini
- Runway's Solaris frame-by-frame UI model
- Claude Science UV map and exoplanet candidate
BackgroundFrontier models, open models, and how they are compared
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