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BasedHardware/omi

Coolingrank #172

AI that sees your screen, listens to your conversations and tells you what to do

13.6k+99 · 7d 2.5k 179est. MITPythonpushed 5h ago

Composite

67

conf 65%

Momentum

49

conf 60%

Vitality (PVI)

71

conf 67%

Community

70

conf 60%

Security & maint.

92

conf 85%

Ecosystem influence

69

conf 60%

Opportunity

60

conf 60%

Breakout · 7d

9%

conf 71%

Executive summary

omi is currently classified as cooling with a composite score of 67/100. Momentum (49) and vitality (71) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 99 stars against a 13.6k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 9%.

90-day trajectory

+684 · 30d
2026-06-302026-09-27

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%56
Star accelerationest.15%31
Fork velocityest.10%40
Contributor growthest.10%68
Issue activity growthest.10%63
PR activity growthest.10%69
External mention velocityest.10%7
Release event impactest.5%76
Trending-rank persistenceest.5%32

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

Project Vitality Index

Commit consistency20%99
Release cadenceest.15%79
PR responsivenessest.15%53
Issue responsivenessest.15%41
Contributor diversityest.10%84
Maintainer continuityest.10%87
Documentation qualityest.5%62
Dependency freshnessest.5%50
Security hygieneest.5%57

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

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%99
Dependency stalenessest.15%85
Bus factorest.15%75

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

Ecosystem influence

Dependent repositoriesest.30%84
Quality-weighted dependentsest.20%69
Documentation citationsest.15%61
Contributor overlapest.15%30
Registry adoptionest.10%69
Topic centralityest.10%100

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