karpathy/autoresearch
Saturatedrank #92AI agents running research on single-GPU nanochat training automatically
Composite
58
conf 65%
Momentum
65
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
13%
conf 71%
Executive summary
autoresearch is currently classified as saturated with a composite score of 58/100. Momentum (65) and vitality (50) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 2,076 stars against a 93.5k-star base. Risk is assessed as high; the interpretable model puts its probability of entering the top trend cohort within 7 days at 13%.
90-day trajectory
+15.2k · 30dScore breakdown
Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.
Momentum
Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%
Project Vitality Index
Model tn-interpretable-1.0.0 · confidence 67% · coverage 92% · missing: licenseClarity
Security & maintenance
Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%
Ecosystem influence
Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption