Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #2643 · 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

SURPRISE0.00285
ENGAGEMENT0.20
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
100% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
21.09
ACCEL
+0.11
RETENTION
10.8%
PEAK 2026-05-29 · FORK-RETENTION 0.0% · 3,797 STARS / WINDOW

Author Audience

AUDIENCE
7,357
FOLLOWERS
765
OWNER ★
29,134

Engagement Signals

FORKS
336
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 3,797 / 3,797 (DIVERSITY 1.00)

Why This Is A Finding

OpenMOSS/MOSS-TTS собрал 3,797 звёзд за окно, тогда как у автора всего 765 подписчиков — эффективная аудитория ≈ 7,357. Это даёт surprise-индекс 0.00285 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 56%
VELOCITY21.093.29+17.80ABOVE 92%
RETENTION10.8%11.3%-0.6 PPABOVE 48%
FORKS33699+237ABOVE 81%
SURPRISE0.000.01-0.01ABOVE 26%