Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for job seekers using Claude Code, career-coach AI tooling authors, and HR-tech builders who need a real structured drafter-reviewer pipeline with a fit-rating scorer, a forward-looking cover letter generator, and salary benchmarking where the country-agnostic core (profile + fit + draft + review) is the durable value and the country-specific portal scrapers are swappable for LinkedIn, Inde
Who should use it
Who should skip it
Move on from MadsLorentzen/ai-job-search if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
MadsLorentzen/ai-job-search is tracked by RepoRadar as a tool in the Radar section. It was first seen on 2026-07-09 and last updated on 2026-07-09. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. MadsLorentzen/ai-job-search leads on workflow potential (9.1) and momentum (9.0); its lowest signal is setup ease (6.4), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned MadsLorentzen/ai-job-search a composite score of 8.4 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 0.0 and never affects the composite score or tier. The risk label of 'none' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
No inherent user-impacting risk is flagged from the captured evidence.