FINDING #908 · 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)
5% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
1.93
ACCEL
-0.03
RETENTION
3.7%
PEAK 2026-05-31 · FORK-RETENTION 15.8% · 174 STARS / WINDOW
Author Audience
AUDIENCE
7,357
FOLLOWERS
765
OWNER ★
29,134
Engagement Signals
FORKS
336
ISSUE AUTH
1
PR AUTH
4
UNIQUE STARGAZERS 174 / 174 (DIVERSITY 1.00)
Why This Is A Finding
OpenMOSS/MOSS-TTS собрал 174 звёзд за окно, тогда как у автора всего 765 подписчиков — эффективная аудитория ≈ 7,357. Это даёт surprise-индекс 0.000261 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 15.8% и 5 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 32% OF 1335 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 1335 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 32%
VELOCITY1.932.82-0.89ABOVE 25%
RETENTION3.7%8.4%-4.7 PPABOVE 19%
FORKS3361,463-1,127ABOVE 18%
SURPRISE0.000.00-0.00ABOVE 36%