Claude Code Job Search: 69 Applications, 20 Interviews, 1 Offer

Mads Lorentzen, a laid-off geophysicist, used Claude Code to build an open-source agentic job-search framework that automated his entire job hunt, resulting in 69 applications, 20 interviews, and a job offer as an AI engineer. The project, ai-job-search, has gained over 29,000 GitHub stars and includes features like dual-agent resume review, ATS-verified LaTeX documents, and local-first privacy. Lorentzen also credits AI coding tools for his markdown editor ColaMD 2.0.0, which has surpassed 1,000 stars and 1,500 installs.

A laid-off geophysicist turned his job hunt into an agentic workflow and open-sourced it. The project, ai-job-search , has blown past 29,000 stars on GitHub — and it's a blueprint for how AI turns a messy, subjective process into an executable pipeline. ▸ From 69 applications to an offer source: @aigc1024 . Mads Lorentzen, a geophysicist who was laid off, used Claude Code to build a job-search framework that automated his entire funnel: 69 applications → 20 first-round interviews → a job offer, and he landed an AI engineering role. The full funnel data is shared publicly on LinkedIn. ▸ The whole job-search supply chain, automated source: @aigc1024 . Where most people use ChatGPT as a copy-paste resume polisher, ai-job-search rebuilds the pipeline end to end: job discovery, match scoring skills, experience, culture, location, career growth , tailored resume and cover letter drafting, interview prep, and application tracking. ▸ Dual-agent review is the core design source: @aigc1024 . A Drafter agent generates a tailored resume and cover letter from your profile; a Reviewer agent — a second Claude agent started with fresh context — independently researches the target company and critiques the draft from a third-party angle. That directly attacks the quality instability of single-pass generation. ▸ Four commands cover the full loop source: @aigc1024 . /setup builds your career profile from a documents folder, a single resume, or a guided interview ; /scrape searches and ranks jobs built-in Danish portals, plus /add-portal to extend to any region ; /apply generates materials — LaTeX-compiled to an exactly-2-page resume and 1-page cover letter, with ATS verification on the PDF text layer; /interview produces staged interview prep with company research, interviewer background, STAR case mapping, and mock interviews. ▸ Local-first, privacy-safe, fork-and-own source: @aigc1024 . All data stays on your machine — no SaaS, no privacy leaks. Fork it and change anything. ▸ Bonus: ColaMD 2.0.0, a markdown editor shipped by a self-taught non-programmer source: @aigc1024 . The author credits AI coding tools — specifically the ox and terra models — for pushing each version forward, including a notoriously harder iOS build. Now at 1,000+ stars and 1,500+ installs, with Mermaid support, multi-window, custom fonts, and auto-save. The pattern is the point: complex, subjective workflows become repeatable agent pipelines — and the people shipping those pipelines are the ones getting hired.