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ai-job-search-dev/ai-job-search

Breakoutrank #14

The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

63.2k+7.2k · 7d 19.5k 512est. MITPythonpushed 1d ago
Compare View on GitHub

Composite

77

conf 65%

Momentum

80

conf 60%

Vitality (PVI)

72

conf 67%

Community

66

conf 60%

Security & maint.

91

conf 85%

Ecosystem influence

77

conf 60%

Opportunity

65

conf 60%

Breakout · 7d

77%

conf 71%

Executive summary

ai-job-search is currently classified as breakout with a composite score of 77/100. Momentum (80) and vitality (72) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 7,189 stars against a 63.2k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 77%.

Analyst note

AI-drafted · numbers from tracked data

The momentum-vs-vitality relationship suggests that a project's recent success (high vitality) is likely to continue, as indicated by the high 80/100 and 72/100 values. This implies that adopting or building on this project now could be beneficial for its continued growth and development, especially given the relatively low security-maintenance value of 91%.

90-day trajectory

+28.5k · 30d
2026-07-252026-10-22

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%100
Star accelerationest.15%54
Fork velocityest.10%100
Contributor growthest.10%100
Issue activity growthest.10%58
PR activity growthest.10%47
External mention velocityest.10%100
Release event impactest.5%67
Trending-rank persistenceest.5%58

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%96
Release cadenceest.15%69
PR responsivenessest.15%45
Issue responsivenessest.15%63
Contributor diversityest.10%100
Maintainer continuityest.10%52
Documentation qualityest.5%78
Dependency freshnessest.5%71
Security hygieneest.5%67

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%97
License clarity20%92
Maintenance status25%96
Dependency stalenessest.15%85
Bus factorest.15%77

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%100
Quality-weighted dependentsest.20%78
Documentation citationsest.15%76
Contributor overlapest.15%31
Registry adoptionest.10%48
Topic centralityest.10%100

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption