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FINDING #5113 · UNIT ID 41767943

MIT-LCP/mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00104

ENGAGEMENT0.19

FRESHNESS1.00

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

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

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.43

ACCEL

+1.00

RETENTION

85.7%

PEAK 2026-07-15 · FORK-RETENTION 0.0% · 17 STARS / WINDOW

Author Audience

AUDIENCE

2,285

FOLLOWERS

515

OWNER ★

6,275

Engagement Signals

FORKS

1,719

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 17 / 17 (DIVERSITY 1.00)

Why This Is A Finding

MIT-LCP/mimic-code собрал 17 звёзд за окно, тогда как у автора всего 515 подписчиков — эффективная аудитория ≈ 2,285. Это даёт surprise-индекс 0.00104 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 27% OF 6993 FINDINGS

#651Nicolepcx/ai-agents-the-definitive-guide[ JUPYTER NOTEBOOK ]0.0137 #1091adrida/tracer[ JUPYTER NOTEBOOK ]0.00823 #1158lyogavin/airllm[ JUPYTER NOTEBOOK ]0.00778 #1226Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.0073 #1260baijiuyang/collision-avoidance2[ JUPYTER NOTEBOOK ]0.00704

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6993 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 27%

VELOCITY2.433.71-1.29ABOVE 32%

RETENTION85.7%32.1%+53.7 PPABOVE 100%

FORKS1,71993+1,626ABOVE 95%

SURPRISE0.000.01-0.01ABOVE 16%