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vectorize-io/hindsight

Establishedrank #149

Hindsight: Agent Memory That Learns

20k+633 · 7d 1.4k 109est. MITPythonpushed 8m ago
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Composite

69

conf 65%

Momentum

62

conf 60%

Vitality (PVI)

73

conf 67%

Community

51

conf 60%

Security & maint.

90

conf 85%

Ecosystem influence

73

conf 60%

Opportunity

58

conf 60%

Breakout · 7d

20%

conf 71%

Executive summary

hindsight is currently classified as established with a composite score of 69/100. Momentum (62) and vitality (73) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 633 stars against a 20k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 20%.

90-day trajectory

+4k · 30d
2026-05-172026-08-14

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%78
Star accelerationest.15%34
Fork velocityest.10%75
Contributor growthest.10%80
Issue activity growthest.10%66
PR activity growthest.10%46
External mention velocityest.10%29
Release event impactest.5%87
Trending-rank persistenceest.5%65

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

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%66
PR responsivenessest.15%77
Issue responsivenessest.15%58
Contributor diversityest.10%76
Maintainer continuityest.10%62
Documentation qualityest.5%69
Dependency freshnessest.5%46
Security hygieneest.5%63

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%67
Bus factorest.15%78

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

Ecosystem influence

Dependent repositoriesest.30%78
Quality-weighted dependentsest.20%72
Documentation citationsest.15%77
Contributor overlapest.15%48
Registry adoptionest.10%77
Topic centralityest.10%85

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