Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #3977 · 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

SURPRISE0.0021
ENGAGEMENT0.20
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
12% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
15.50
ACCEL
-0.83
RETENTION
17.6%
PEAK 2026-06-21 · FORK-RETENTION 0.0% · 465 STARS / WINDOW

Author Audience

AUDIENCE
7,357
FOLLOWERS
765
OWNER ★
29,134

Engagement Signals

FORKS
336
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 465 / 465 (DIVERSITY 1.00)

Why This Is A Finding

OpenMOSS/MOSS-TTS собрал 465 звёзд за окно, тогда как у автора всего 765 подписчиков — эффективная аудитория ≈ 7,357. Это даёт surprise-индекс 0.0021 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 37%
VELOCITY15.504.23+11.27ABOVE 82%
RETENTION17.6%29.4%-11.8 PPABOVE 26%
FORKS33692+244ABOVE 80%
SURPRISE0.000.01-0.01ABOVE 19%