Developer releases free open-source job search tool using local AI to score listings privately

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A developer named Anirudh has built and open-sourced JobRadar, a command-line tool that searches eight job boards simultaneously and scores each listing against a user-defined profile. The tool uses a small local language model (qwen3-1.7b) running via Ollama on the user's own machine, requiring no cloud API keys or paid subscriptions. Each job is evaluated across four dimensions — skills match, experience fit, salary fit, and remote preference — and assigned a score from 0 to 100 with a reasoning summary. Because all processing happens locally, users' resumes and career data are never sent to external servers. The MIT-licensed project also includes a locally hosted FastAPI dashboard with a Kanban-style interface for tracking job applications, and is available on GitHub.

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