Developer Builds Free CLI Tool That Searches 8 Job Boards Using a Local AI Model

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A developer has released JobRadar, an open-source command-line tool that searches eight job sources simultaneously and scores listings against a user's profile without relying on cloud services. The tool uses a 1.7-billion-parameter local language model (qwen3-1.7b) running via Ollama or llama.cpp, meaning resumes and search data never leave the user's machine. Eight source adapters — including Remotive, RemoteOK, Greenhouse, and Ashby — run concurrently, reducing a manual multi-tab search from roughly 20 minutes to under one minute. Each job listing is scored from 0 to 100 across four dimensions: skills match, experience fit, salary fit, and remote fit, with the model's reasoning also surfaced. Results are cached via SQLite to avoid duplicate listings and exported to a ranked table and CSV file, with no API keys or subscriptions required.

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