Github Trends®
9593 findingsmedian surprise 0.00799window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #7153 · UNIT ID 1152193330
OpenMOSS/MOSS-TTS
MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000395
ENGAGEMENT0.46
FRESHNESS1.58
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.27
ACCEL
-0.01
RETENTION
32.7%
PEAK 2026-08-12 · FORK-RETENTION 81.3% · 98 STARS / WINDOW

Author Audience

AUDIENCE
8,238
FOLLOWERS
909
OWNER ★
32,130

Engagement Signals

FORKS
366
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 98 / 98 (DIVERSITY 1.00)

Why This Is A Finding

OpenMOSS/MOSS-TTS собрал 98 звёзд за окно, тогда как у автора всего 909 подписчиков — эффективная аудитория ≈ 8,238. Это даёт surprise-индекс 0.000395 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 81.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9593 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 25%
VELOCITY3.273.63-0.37ABOVE 45%
RETENTION32.7%25.0%+7.7 PPABOVE 65%
FORKS366117+249ABOVE 77%
SURPRISE0.000.01-0.01ABOVE 10%