What do your GitHub starred repos say about you?
In plain words
StarLens analyzes a user's GitHub starred repositories to reveal insights about their programming interests and skills. The tool is designed for developers who want to understand their own technical preferences or explore what their GitHub activity patterns suggest about their expertise. It processes starred repo data to generate a profile based on programming languages, frameworks, and project types.
written from the facts on this page · September 2026
Does the same job
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- CTCLI that spots fake GitHub stars, risky dependencies and licence traps2025 · github.com · ▲122
When I came across a study that traced 4.5 million fake GitHub stars, it confirmed a suspicion I’d had for a while: stars are noisy. The issue is they’re visible, they’re persuasive, and they still shape hiring decisions, VC term sheets, and dependency choices—but they say very little about actual quality. I wrote StarGuard to put that number in perspective based on my own methodology inspired with what they did and to fold a broader supply-chain check into one command-line run. It starts with the simplest raw input: every starred_at timestamp GitHub will give. It applies a…
- SCSimilarity = cosine(your_GitHub_stars, Karpathy) Client-sideJan 2026 · puzer.github.io · ▲172
GitHub profile analysis - Build your embedding from your Stars - Compare and discover popular people with similar interests and share yours - Generate a Skill Radar - Recommend repositories you might like
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