Github Trends®
8676 findingsmedian surprise 0.00441window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #8106 · UNIT ID 1061125458
QwenLM/Qwen3-Omni
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0000354
ENGAGEMENT0.40
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
2.67
ACCEL
+0.50
RETENTION
0.0%
PEAK 2026-08-10 · FORK-RETENTION 0.0% · 8 STARS / WINDOW

Author Audience

AUDIENCE
75,259
FOLLOWERS
18,527
OWNER ★
191,024

Engagement Signals

FORKS
282
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 8 / 8 (DIVERSITY 1.00)

Why This Is A Finding

QwenLM/Qwen3-Omni собрал 8 звёзд за окно, тогда как у автора всего 18,527 подписчиков — эффективная аудитория ≈ 75,259. Это даёт surprise-индекс 0.0000354 (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 8676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 7%
VELOCITY2.675.67-3.00ABOVE 0%
RETENTION0.0%33.3%-33.3 PPABOVE 0%
FORKS282339-57ABOVE 46%
SURPRISE0.000.00-0.00ABOVE 4%