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FINDING #2436 · UNIT ID 961295208

openags/paper-search-mcp

MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0105

ENGAGEMENT0.44

FRESHNESS1.53

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

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

8% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

6.87

ACCEL

-0.04

RETENTION

44.5%

PEAK 2026-08-06 · FORK-RETENTION 71.0% · 206 STARS / WINDOW

Author Audience

AUDIENCE

612

FOLLOWERS

OWNER ★

2,698

Engagement Signals

FORKS

251

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 206 / 206 (DIVERSITY 1.00)

Why This Is A Finding

openags/paper-search-mcp собрал 206 звёзд за окно, тогда как у автора всего 36 подписчиков — эффективная аудитория ≈ 612. Это даёт surprise-индекс 0.0105 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 71.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 75% OF 9591 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 75%

VELOCITY6.873.63+3.23ABOVE 70%

RETENTION44.5%24.8%+19.7 PPABOVE 85%

FORKS251120+131ABOVE 68%

SURPRISE0.010.01+0.00ABOVE 57%