Github Trends®
9733 findingsmedian surprise 0.00869window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8858 · 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

SURPRISE0.00677
ENGAGEMENT0.29
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
10% 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
13.14
ACCEL
-0.32
RETENTION
50.0%
PEAK 2026-08-20 · FORK-RETENTION 40.0% · 92 STARS / WINDOW

Author Audience

AUDIENCE
1,901
FOLLOWERS
311
OWNER ★
6,396

Engagement Signals

FORKS
61
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 92 / 92 (DIVERSITY 1.00)

Why This Is A Finding

AutoArk/open-audio-opd собрал 92 звёзд за окно, тогда как у автора всего 311 подписчиков — эффективная аудитория ≈ 1,901. Это даёт surprise-индекс 0.00677 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 40.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9733 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY13.143.57+9.57ABOVE 83%
RETENTION50.0%34.4%+15.6 PPABOVE 70%
FORKS6198-37ABOVE 38%
SURPRISE0.010.01-0.00ABOVE 43%