Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #7737 · 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

SURPRISE0.000207
ENGAGEMENT0.45
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
16.71
ACCEL
-0.14
RETENTION
40.9%
PEAK 2026-10-16 · FORK-RETENTION 11.1% · 117 STARS / WINDOW

Author Audience

AUDIENCE
80,567
FOLLOWERS
19,988
OWNER ★
202,957

Engagement Signals

FORKS
1,797
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 117 / 117 (DIVERSITY 1.00)

Why This Is A Finding

QwenLM/Qwen3-TTS собрал 117 звёзд за окно, тогда как у автора всего 19,988 подписчиков — эффективная аудитория ≈ 80,567. Это даёт surprise-индекс 0.000207 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 11.1% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 20%
VELOCITY16.713.14+13.57ABOVE 89%
RETENTION40.9%16.7%+24.2 PPABOVE 76%
FORKS1,797277+1,520ABOVE 83%
SURPRISE0.000.00-0.00ABOVE 12%