Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4198 · 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

SURPRISE0.000274
ENGAGEMENT0.20
FRESHNESS1.43
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
15% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
20.13
ACCEL
-0.11
RETENTION
42.7%
PEAK 2026-06-12 · FORK-RETENTION 0.0% · 1,812 STARS / WINDOW

Author Audience

AUDIENCE
73,440
FOLLOWERS
17,968
OWNER ★
187,519

Engagement Signals

FORKS
1,606
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,812 / 1,812 (DIVERSITY 1.00)

Why This Is A Finding

QwenLM/Qwen3-TTS собрал 1,812 звёзд за окно, тогда как у автора всего 17,968 подписчиков — эффективная аудитория ≈ 73,440. Это даёт surprise-индекс 0.000274 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 34%
VELOCITY20.133.99+16.14ABOVE 89%
RETENTION42.7%17.1%+25.5 PPABOVE 92%
FORKS1,60690+1,517ABOVE 96%
SURPRISE0.000.01-0.01ABOVE 8%