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karpathy/autoresearch

Saturatedrank #183

AI agents running research on single-GPU nanochat training automatically

97.8k+1.5k · 7d 13.6k 448est. NOASSERTIONPythonpushed 7mo ago
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Composite

57

conf 65%

Momentum

63

conf 60%

Vitality (PVI)

50

conf 67%

Community

73

conf 60%

Security & maint.

25

conf 85%

Ecosystem influence

76

conf 60%

Opportunity

67

conf 60%

Breakout · 7d

12%

conf 71%

Executive summary

autoresearch is currently classified as saturated with a composite score of 57/100. Momentum (63) and vitality (50) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 1,540 stars against a 97.8k-star base. Risk is assessed as high; the interpretable model puts its probability of entering the top trend cohort within 7 days at 12%.

90-day trajectory

+11.3k · 30d
2026-07-162026-10-13

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%88
Star accelerationest.15%29
Fork velocityest.10%87
Contributor growthest.10%100
Issue activity growthest.10%49
PR activity growthest.10%76
External mention velocityest.10%14
Release event impactest.5%40
Trending-rank persistenceest.5%36

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

Project Vitality Index

Commit consistency20%0
Release cadenceest.15%41
PR responsivenessest.15%53
Issue responsivenessest.15%52
Contributor diversityest.10%98
Maintainer continuityest.10%58
Documentation qualityest.5%83
Dependency freshnessest.5%88
Security hygieneest.5%70

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

Security & maintenance

Release recency25%0
License clarity20%30
Maintenance status25%0
Dependency stalenessest.15%40
Bus factorest.15%86

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

Ecosystem influence

Dependent repositoriesest.30%99
Quality-weighted dependentsest.20%84
Documentation citationsest.15%68
Contributor overlapest.15%76
Registry adoptionest.10%70
Topic centralityest.10%5

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