Github Trends®
9593 findingsmedian surprise 0.00799window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #7912 · UNIT ID 1138817132
QwenLM/Qwen3-TTS
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000193
ENGAGEMENT0.41
FRESHNESS1.28
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
14.90
ACCEL
-0.03
RETENTION
69.0%
PEAK 2026-08-29 · FORK-RETENTION 3.4% · 447 STARS / WINDOW

Author Audience

AUDIENCE
77,225
FOLLOWERS
19,032
OWNER ★
195,805

Engagement Signals

FORKS
1,709
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 447 / 447 (DIVERSITY 1.00)

Why This Is A Finding

QwenLM/Qwen3-TTS собрал 447 звёзд за окно, тогда как у автора всего 19,032 подписчиков — эффективная аудитория ≈ 77,225. Это даёт surprise-индекс 0.000193 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 3.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9593 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 18%
VELOCITY14.903.63+11.27ABOVE 86%
RETENTION69.0%25.0%+44.0 PPABOVE 98%
FORKS1,709117+1,592ABOVE 94%
SURPRISE0.000.01-0.01ABOVE 7%