jason-huanghao

jason-huanghao / jobradar

Public

AI-powered job search agent for Germany & China tech roles — OpenClaw skill

15
1
69% credibility
Found Mar 14, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

JobRadar automates job hunting by analyzing your resume, searching multiple German and Chinese job sites, scoring matches with AI across six criteria, and producing Excel trackers, daily summaries, and personalized cover letters.

How It Works

1
🔍 Discover JobRadar

You find JobRadar, a smart helper that finds perfect job matches instead of blindly applying everywhere.

2
📄 Add Your CV

Drop your resume file and pick cities or remote work spots where you want to search.

3
🧠 Connect AI Helper

Link a thinking service so it can read your skills and score jobs just for you.

4
🚀 Run First Search

Hit go for a quick test run and watch it scan job sites in seconds.

5
📊 Get Your Matches

Receive a colorful Excel list of top jobs with scores, reasons why they fit, and ready cover letters.

6
⏰ Set Daily Updates

Turn on automatic morning checks to get fresh matches delivered daily.

🎉 Land Dream Job

Your inbox fills with great opportunities, interviews roll in, and you find the perfect role.

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AI-Generated Review

What is jobradar?

Jobradar is a Python-based AI-powered job search agent targeting tech roles in Germany and China. Drop in your CV (PDF, Markdown, or URL), and it parses your skills and preferences to query seven platforms like Bundesagentur, Indeed, StepStone, BOSS直聘, and Lagou in parallel. It uses any LLM to score matches on six dimensions—skills, seniority, location, language, visa, growth—then spits out an Excel tracker, daily Markdown digest, and tailored cover letters via simple CLI commands like `jobradar --update` or `jobradar --generate-app Company`.

Why is it gaining traction?

It stands out as an ai-powered job recommendation system with zero LLM lock-in (OpenAI, DeepSeek, Ollama), agent integration for Claude or OpenClaw, and incremental daily runs that finish in minutes by skipping old jobs. Multi-language support (English, German, Chinese READMEs) and feedback loops (`--feedback "AMD liked"`) refine scoring over time, making it a practical ai-powered job search tool beyond basic scrapers.

Who should use this?

AI/ML engineers or backend devs job-hunting in Berlin/Shanghai who hate manual LinkedIn searches and want personalized ai-powered job market insights. Ideal for remote/full-time seekers needing visa-friendly matches, with automation via cron/launchd for daily digests.

Verdict

Solid prototype for personal use—install with `pip install -e .` and run in 5 minutes—but only 10 stars and 0.699999988079071% credibility score signal early maturity; docs are excellent, but expect tweaks for CN sources (VPN/cookies needed). Try if you're in DE/CN tech; skip for production-scale ai-powered job portals.

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