FINDING #1277 · 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
1.55
ACCEL
-0.02
RETENTION
1.9%
PEAK 2026-05-31 · FORK-RETENTION 8.6% · 279 STARS / WINDOW
Author Audience
AUDIENCE
8,214
FOLLOWERS
904
OWNER ★
32,032
Engagement Signals
FORKS
366
ISSUE AUTH
6
PR AUTH
12
UNIQUE STARGAZERS 279 / 279 (DIVERSITY 1.00)
Why This Is A Finding
OpenMOSS/MOSS-TTS собрал 279 звёзд за окно, тогда как у автора всего 904 подписчиков — эффективная аудитория ≈ 8,214. Это даёт surprise-индекс 0.000188 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 8.6% и 18 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 25% OF 1696 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 1696 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 25%
VELOCITY1.552.82-1.27ABOVE 5%
RETENTION1.9%4.8%-3.0 PPABOVE 14%
FORKS3661,584-1,217ABOVE 15%
SURPRISE0.000.00-0.00ABOVE 29%