Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #5590 · UNIT ID 1143942597
QwenLM/Qwen3-ASR
Qwen3-ASR is an open-source series of ASR models developed by the Qwen team at Alibaba Cloud, supporting stable multilingual speech/music/song recognition, language detection and timestamp prediction.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0000853
ENGAGEMENT0.20
FRESHNESS1.40
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
6.27
ACCEL
+0.02
RETENTION
50.6%
PEAK 2026-06-16 · FORK-RETENTION 0.0% · 188 STARS / WINDOW

Author Audience

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

Engagement Signals

FORKS
320
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 188 / 188 (DIVERSITY 1.00)

Why This Is A Finding

QwenLM/Qwen3-ASR собрал 188 звёзд за окно, тогда как у автора всего 17,968 подписчиков — эффективная аудитория ≈ 73,440. Это даёт surprise-индекс 0.0000853 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 11%
VELOCITY6.274.23+2.03ABOVE 63%
RETENTION50.6%29.4%+21.2 PPABOVE 86%
FORKS32092+228ABOVE 79%
SURPRISE0.000.01-0.01ABOVE 4%