Github Trends®
9591 findingsmedian surprise 0.00783window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #7174 · 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

SURPRISE0.000416
ENGAGEMENT0.45
FRESHNESS1.53
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.43
ACCEL
-0.02
RETENTION
33.3%
PEAK 2026-08-12 · FORK-RETENTION 75.0% · 103 STARS / WINDOW

Author Audience

AUDIENCE
8,214
FOLLOWERS
904
OWNER ★
32,032

Engagement Signals

FORKS
366
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 103 / 103 (DIVERSITY 1.00)

Why This Is A Finding

OpenMOSS/MOSS-TTS собрал 103 звёзд за окно, тогда как у автора всего 904 подписчиков — эффективная аудитория ≈ 8,214. Это даёт surprise-индекс 0.000416 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 75.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 25%
VELOCITY3.433.63-0.20ABOVE 47%
RETENTION33.3%24.8%+8.5 PPABOVE 66%
FORKS366120+246ABOVE 77%
SURPRISE0.000.01-0.01ABOVE 10%