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linshenkx/prompt-optimizer

Establishedrank #203

An AI prompt optimizer for writing better prompts and getting better AI results.

37.3k+929 · 7d 4.3k 234est. NOASSERTIONTypeScriptpushed 1d ago

Composite

71

conf 65%

Momentum

60

conf 60%

Vitality (PVI)

86

conf 67%

Community

64

conf 60%

Security & maint.

77

conf 85%

Ecosystem influence

71

conf 60%

Opportunity

62

conf 60%

Breakout · 7d

39%

conf 71%

Executive summary

prompt-optimizer is currently classified as established with a composite score of 71/100. Momentum (60) and vitality (86) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 929 stars against a 37.3k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 39%.

90-day trajectory

+4.4k · 30d
2026-07-132026-10-10

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%82
Star accelerationest.15%45
Fork velocityest.10%75
Contributor growthest.10%86
Issue activity growthest.10%27
PR activity growthest.10%56
External mention velocityest.10%23
Release event impactest.5%60
Trending-rank persistenceest.5%56

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

Project Vitality Index

Commit consistency20%96
Release cadenceest.15%94
PR responsivenessest.15%86
Issue responsivenessest.15%83
Contributor diversityest.10%88
Maintainer continuityest.10%84
Documentation qualityest.5%61
Dependency freshnessest.5%83
Security hygieneest.5%64

Model tn-interpretable-1.0.0 · confidence 67% · coverage 92% · missing: licenseClarity

Security & maintenance

Release recency25%97
License clarity20%30
Maintenance status25%96
Dependency stalenessest.15%50
Bus factorest.15%98

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

Ecosystem influence

Dependent repositoriesest.30%89
Quality-weighted dependentsest.20%69
Documentation citationsest.15%57
Contributor overlapest.15%30
Registry adoptionest.10%73
Topic centralityest.10%100

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