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6892 findingsmedian surprise 0.0109window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #4994 · UNIT ID 1207153645
OpenMOSS/MOSS-TTS-Nano
MOSS-TTS-Nano is an open-source multilingual tiny speech generation model from MOSI.AI and the OpenMOSS team. With only 0.1B parameters, it is designed for realtime speech generation, can run directly on CPU without a GPU, and keeps the deployment stack simple enough for local demos, web serving, and lightweight product integration.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00108
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
8.00
ACCEL
-0.82
RETENTION
76.7%
PEAK 2026-07-09 · FORK-RETENTION 0.0% · 56 STARS / WINDOW

Author Audience

AUDIENCE
7,357
FOLLOWERS
765
OWNER ★
29,134

Engagement Signals

FORKS
507
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 56 / 56 (DIVERSITY 1.00)

Why This Is A Finding

OpenMOSS/MOSS-TTS-Nano собрал 56 звёзд за окно, тогда как у автора всего 765 подписчиков — эффективная аудитория ≈ 7,357. Это даёт surprise-индекс 0.00108 (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 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 28%
VELOCITY8.004.14+3.86ABOVE 68%
RETENTION76.7%40.6%+36.0 PPABOVE 92%
FORKS50789+418ABOVE 86%
SURPRISE0.000.01-0.01ABOVE 15%