Rizzo-AI-Academy/rizzo-flow — GitHub trend

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FINDING #1663 · UNIT ID 1378880709

Rizzo-AI-Academy/rizzo-flow

The open, local take on Jev: typed decisions from an LLM, without generating a single token

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0226

ENGAGEMENT0.37

FRESHNESS1.00

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

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

12% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

15.67

ACCEL

+23.50

RETENTION

0.0%

PEAK 2026-09-23 · FORK-RETENTION 0.0% · 47 STARS / WINDOW

Author Audience

AUDIENCE

653

FOLLOWERS

174

OWNER ★

1,525

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 47 / 47 (DIVERSITY 1.00)

Why This Is A Finding

Rizzo-AI-Academy/rizzo-flow собрал 47 звёзд за окно, тогда как у автора всего 174 подписчиков — эффективная аудитория ≈ 653. Это даёт surprise-индекс 0.0226 (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 83% OF 9582 FINDINGS

#01TheoLeeCJ/SemIf[ PYTHON ]1.84 #05TianyuCodings/NanoJev[ PYTHON ]1.00 #12ithtelab/workbuddy-manager[ PYTHON ]0.70 #15awlevin/typesafe-computer-use[ PYTHON ]0.66 #17yi1108/printfilm[ PYTHON ]0.65

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9582 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 83%

VELOCITY15.675.67+10.00ABOVE 80%

RETENTION0.0%43.8%-43.8 PPABOVE 0%

FORKS24326-302ABOVE 13%

SURPRISE0.020.00+0.02ABOVE 75%