lemony-ai/cascadeflow — GitHub trend

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FINDING #5207 · UNIT ID 1082518430

lemony-ai/cascadeflow

Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.

[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00584

ENGAGEMENT0.23

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

6.86

ACCEL

+3.07

RETENTION

2.8%

PEAK 2026-09-26 · FORK-RETENTION 0.0% · 48 STARS / WINDOW

Author Audience

AUDIENCE

1,134

FOLLOWERS

126

OWNER ★

3,997

Engagement Signals

FORKS

892

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 48 / 48 (DIVERSITY 1.00)

Why This Is A Finding

lemony-ai/cascadeflow собрал 48 звёзд за окно, тогда как у автора всего 126 подписчиков — эффективная аудитория ≈ 1,134. Это даёт surprise-индекс 0.00584 (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 47% OF 9759 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 9759 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 47%

VELOCITY6.863.57+3.29ABOVE 68%

RETENTION2.8%37.2%-34.4 PPABOVE 11%

FORKS892105+787ABOVE 91%

SURPRISE0.010.01-0.00ABOVE 41%