Github Trends®
5024 findingsmedian surprise 0.0142window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: gharchive
FINDING #3610 · 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

SURPRISE0.00167
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
12.33
ACCEL
-6.50
RETENTION
58.8%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 37 STARS / WINDOW

Author Audience

AUDIENCE
7,357
FOLLOWERS
765
OWNER ★
29,134

Engagement Signals

FORKS
336
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 37 / 37 (DIVERSITY 1.00)

Why This Is A Finding

OpenMOSS/MOSS-TTS собрал 37 звёзд за окно, тогда как у автора всего 765 подписчиков — эффективная аудитория ≈ 7,357. Это даёт surprise-индекс 0.00167 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 28%
VELOCITY12.336.67+5.67ABOVE 70%
RETENTION58.8%46.5%+12.3 PPABOVE 63%
FORKS336116+220ABOVE 75%
SURPRISE0.000.01-0.01ABOVE 16%