Github Trends®
9125 findingsmedian surprise 0.00425window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #8238 · UNIT ID 1248816982
AutoArk/open-audio-opd
Industrial audio online policy distillation (OPD) training stack for ASR and TTS, distilling compact audio models from stronger teacher models.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00653
ENGAGEMENT0.28
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
12.67
ACCEL
-3.50
RETENTION
50.0%
PEAK 2026-08-20 · FORK-RETENTION 0.0% · 38 STARS / WINDOW

Author Audience

AUDIENCE
1,901
FOLLOWERS
311
OWNER ★
6,396

Engagement Signals

FORKS
61
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 38 / 38 (DIVERSITY 1.00)

Why This Is A Finding

AutoArk/open-audio-opd собрал 38 звёзд за окно, тогда как у автора всего 311 подписчиков — эффективная аудитория ≈ 1,901. Это даёт surprise-индекс 0.00653 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9125 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY12.675.33+7.33ABOVE 77%
RETENTION50.0%20.6%+29.4 PPABOVE 65%
FORKS61343-282ABOVE 21%
SURPRISE0.010.00+0.00ABOVE 57%