AI Job Search
A free toolkit you set up once on your own computer that has an AI agent read through job postings, tell you which ones actually fit your background, and write a tailored CV and cover letter for each one — instead of you rewriting your resume by hand for
🔗 Visit AI Job SearchDescription
Applying to dozens of jobs usually means either sending the same generic CV everywhere (which recruiters can spot instantly) or spending hours customizing each application by hand. AI Job Search automates the customization step: you set it up with your background and preferences, point it at job boards, and it scores each posting against your profile, generates a tailored CV and cover letter, and even helps you prep for interviews by mapping your experience to likely questions.
AI Job Search is a free, open-source (MIT license, ~26,400 GitHub stars, 8,644 forks) toolkit built around Claude Code that evaluates job postings and scores them against your profile, generates tailored CVs and cover letters in LaTeX, prepares interview answers using the STAR method, tracks applications and outcomes, and scrapes multiple job portals (originally built around Danish job portals plus LinkedIn and freelance sites). Setup requires Python 3.10+, Bun, and a LaTeX distribution (TeX Live, MacTeX, TinyTeX or MiKTeX), and the GitHub repository itself serves as the primary documentation.
💬 Our review
The short version: if you're job hunting seriously and comfortable with some technical setup, AI Job Search automates the tedious parts (scoring postings, tailoring documents) far better than manually rewriting a CV for every application.
With nearly 8,700 forks against 26,400 stars, this is a genuinely widely-used personal project, not just a popular idea nobody actually runs — that fork ratio suggests real adoption by people customizing it for their own job search rather than just starring it. The setup cost is real, though: Python, Bun, and a full LaTeX distribution is a meaningful technical bar for a non-developer job seeker, and the job-portal scraping was originally built for Danish portals, so effectiveness elsewhere may vary and require configuration. For a technically comfortable job seeker willing to invest an afternoon in setup, the payoff (genuinely tailored applications at scale) is real; for someone who just wants a quick resume polish, a simpler web-based CV tool will get there faster.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Entièrement gratuit et open source (licence MIT), auto-hébergé.
Pros
Gratuit, open source, adoption réelle prouvée (8 644 forks)
Scoring d'offres et personnalisation CV/lettre automatisés
Préparation d'entretien intégrée (méthode STAR)
Suivi des candidatures et des résultats
Cons
Installation technique exigeante (Python, Bun, distribution LaTeX complète)
Scraping de portails initialement centré sur le Danemark, à adapter ailleurs
Documentation limitée au README GitHub, pas de site dédié
Pas adapté aux chercheurs d'emploi non techniques
