dimastatz/whisper-flow — GitHub trend

FINDING #1064 · UNIT ID 809767236

dimastatz/whisper-flow

Whisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAI’s Whisper model. Rather than processing entire files after upload (“batch mode”), Whisper-Flow accepts a continuous stream of audio chunks and produces incremental transcripts immediately.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0256

ENGAGEMENT0.69

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

4.33

ACCEL

-4.00

RETENTION

15.0%

PEAK 2026-08-19 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE

129

FOLLOWERS

OWNER ★

953

Engagement Signals

FORKS

127

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

dimastatz/whisper-flow собрал 13 звёзд за окно, тогда как у автора всего 34 подписчиков — эффективная аудитория ≈ 129. Это даёт surprise-индекс 0.0256 (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 88% OF 8778 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 8778 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 88%

VELOCITY4.335.33-1.00ABOVE 36%

RETENTION15.0%44.4%-29.4 PPABOVE 19%

FORKS127353-226ABOVE 31%

SURPRISE0.030.00+0.02ABOVE 80%