Github Trends®
2987 findingsmedian surprise 0.00082window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #1790 · 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

SURPRISE0.00042
ENGAGEMENT0.76
FRESHNESS1.49
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
15% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.11
ACCEL
-0.02
RETENTION
5.5%
PEAK 2026-02-15 · FORK-RETENTION 86.2% · 559 STARS / WINDOW

Author Audience

AUDIENCE
7,357
FOLLOWERS
765
OWNER ★
29,134

Engagement Signals

FORKS
336
ISSUE AUTH
14
PR AUTH
20
UNIQUE STARGAZERS 558 / 559 (DIVERSITY 1.00)

Why This Is A Finding

OpenMOSS/MOSS-TTS собрал 559 звёзд за окно, тогда как у автора всего 765 подписчиков — эффективная аудитория ≈ 7,357. Это даёт surprise-индекс 0.00042 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 86.2% и 34 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2987 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 40%
VELOCITY3.112.84+0.26ABOVE 54%
RETENTION5.5%6.8%-1.3 PPABOVE 43%
FORKS3361,068-732ABOVE 23%
SURPRISE0.000.00-0.00ABOVE 38%