qualcomm/ai-hub-models — GitHub trend

FINDING #4999 · UNIT ID 734051622

qualcomm/ai-hub-models

Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000362

ENGAGEMENT0.20

FRESHNESS1.36

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

1.63

ACCEL

-0.00

RETENTION

30.7%

PEAK 2026-06-17 · FORK-RETENTION 0.0% · 49 STARS / WINDOW

Author Audience

AUDIENCE

4,475

FOLLOWERS

798

OWNER ★

14,394

Engagement Signals

FORKS

207

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 49 / 49 (DIVERSITY 1.00)

Why This Is A Finding

qualcomm/ai-hub-models собрал 49 звёзд за окно, тогда как у автора всего 798 подписчиков — эффективная аудитория ≈ 4,475. Это даёт surprise-индекс 0.000362 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 21% OF 6295 FINDINGS

#01shy3130/tickflow-stock-panel[ PYTHON ]0.46 #06Panniantong/Agent-Reach[ PYTHON ]0.29 #10sums001/Windows-Copilot-API[ PYTHON ]0.27 #12HUANGCHIHHUNGLeo/claude-real-video[ PYTHON ]0.24 #14realiti4/claude-swap[ PYTHON ]0.21

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 21%

VELOCITY1.634.23-2.60ABOVE 5%

RETENTION30.7%29.4%+1.3 PPABOVE 53%

FORKS20792+115ABOVE 70%

SURPRISE0.000.01-0.01ABOVE 8%