Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #4083 · 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

SURPRISE0.000211
ENGAGEMENT0.45
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
17.00
ACCEL
-5.50
RETENTION
40.9%
PEAK 2026-10-16 · FORK-RETENTION 25.0% · 51 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 51 / 51 (DIVERSITY 1.00)

Why This Is A Finding

QwenLM/Qwen3-TTS собрал 51 звёзд за окно, тогда как у автора всего 19,988 подписчиков — эффективная аудитория ≈ 80,567. Это даёт surprise-индекс 0.000211 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 25.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 18%
VELOCITY17.005.33+11.67ABOVE 82%
RETENTION40.9%0.0%+40.9 PPABOVE 70%
FORKS1,797346+1,451ABOVE 78%
SURPRISE0.000.00-0.00ABOVE 9%