FINDING #1238 · 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.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
7% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
1.53
ACCEL
-0.02
RETENTION
1.8%
PEAK 2026-05-31 · FORK-RETENTION 8.6% · 276 STARS / WINDOW
Author Audience
AUDIENCE
8,244
FOLLOWERS
909
OWNER ★
32,130
Engagement Signals
FORKS
366
ISSUE AUTH
6
PR AUTH
11
UNIQUE STARGAZERS 276 / 276 (DIVERSITY 1.00)
Why This Is A Finding
OpenMOSS/MOSS-TTS собрал 276 звёзд за окно, тогда как у автора всего 909 подписчиков — эффективная аудитория ≈ 8,244. Это даёт surprise-индекс 0.000185 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 8.6% и 17 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 25% OF 1643 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 1643 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 25%
VELOCITY1.532.82-1.29ABOVE 3%
RETENTION1.8%4.7%-2.9 PPABOVE 14%
FORKS3661,609-1,243ABOVE 14%
SURPRISE0.000.00-0.00ABOVE 28%