squall01337/mixamo-llm-mocap — GitHub trend

FINDING #89 · UNIT ID 1337657531

squall01337/mixamo-llm-mocap

Turn any video into a Mixamo-rig animation - GVHMR estimator, spec-driven retarget, FK apply in Blender via MCP. Works with any Mixamo character; built to be operated end-to-end by an AI agent.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.22

ENGAGEMENT0.89

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

10% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

14.00

ACCEL

0.00

RETENTION

0.0%

PEAK 2026-08-21 · FORK-RETENTION 0.0% · 14 STARS / WINDOW

Author Audience

AUDIENCE

FOLLOWERS

OWNER ★

173

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 14 / 14 (DIVERSITY 1.00)

Why This Is A Finding

squall01337/mixamo-llm-mocap собрал 14 звёзд за окно, тогда как у автора всего 6 подписчиков — эффективная аудитория ≈ 23. Это даёт surprise-индекс 0.22 (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.

Related Findings

RANKS ABOVE 98% OF 4163 FINDINGS

#02xdreizein666/getcontact-cli[ PYTHON ]1.27 #04fromleda/text-humanizer[ PYTHON ]1.15 #07lanicer/cve-2026-41940-PoC[ PYTHON ]0.81 #19LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.47 #22dimensionalOS/dimos[ PYTHON ]0.42

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4163 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.150.00+0.15ABOVE 98%

VELOCITY14.009.00+5.00ABOVE 67%

RETENTION0.0%0.0%0.0 PPABOVE 0%

FORKS33527-494ABOVE 13%

SURPRISE0.220.01+0.22ABOVE 97%