Github Trends®
9594 findingsmedian surprise 0.00639window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8731 · 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

SURPRISE0.00586
ENGAGEMENT0.30
FRESHNESS1.50
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
36% 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
11.37
ACCEL
+0.36
RETENTION
60.6%
PEAK 2026-08-07 · FORK-RETENTION 59.1% · 341 STARS / WINDOW

Author Audience

AUDIENCE
1,901
FOLLOWERS
311
OWNER ★
6,396

Engagement Signals

FORKS
61
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 341 / 341 (DIVERSITY 1.00)

Why This Is A Finding

AutoArk/open-audio-opd собрал 341 звёзд за окно, тогда как у автора всего 311 подписчиков — эффективная аудитория ≈ 1,901. Это даёт surprise-индекс 0.00586 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 59.1% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9594 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY11.373.57+7.80ABOVE 82%
RETENTION60.6%23.8%+36.9 PPABOVE 98%
FORKS61144-83ABOVE 30%
SURPRISE0.010.01-0.00ABOVE 48%