Developer builds AI job-risk tool that analyzes GitHub repos without using any LLM

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A developer built Career Radar, a free tool that assesses users' AI-related job displacement risk by analyzing their public GitHub repositories rather than relying on self-reported information. The tool reads public repos for languages, topics, and commit activity to infer a user's actual skill profile, offering an alternative to simply filling out a form. Scoring runs on a deterministic engine backed by a hand-curated database of 75-plus roles mapped to real U.S. Bureau of Labor Statistics labor market data, with no LLM calls involved at runtime. The developer documented several post-launch bugs, including a PDF renderer crash on zero-percent match scores and a broken usage counter caused by serverless infrastructure not persisting local files. Career Radar requires no login to use, and an email is only requested when unlocking a full breakdown or downloading a job-posting comparison report.

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