google-deepmind/open_x_embodiment — GitHub trend

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FINDING #9369 · UNIT ID 707547956

google-deepmind/open_x_embodiment

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000027

ENGAGEMENT0.56

FRESHNESS1.00

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

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

1% OF STARS IN ARCHIVE

[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:

S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS

S8 · KEYWORD-STUFFED OR EMPTY DESCRIPTION

Growth Telemetry

VELOCITY /D

2.57

ACCEL

-0.04

RETENTION

45.0%

PEAK 2026-08-24 · FORK-RETENTION 0.0% · 18 STARS / WINDOW

Author Audience

AUDIENCE

95,110

FOLLOWERS

26,401

OWNER ★

211,729

Engagement Signals

FORKS

124

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 18 / 18 (DIVERSITY 1.00)

Why This Is A Finding

google-deepmind/open_x_embodiment собрал 18 звёзд за окно, тогда как у автора всего 26,401 подписчиков — эффективная аудитория ≈ 95,110. Это даёт surprise-индекс 0.000027 (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.

Related Findings

RANKS ABOVE 4% OF 9760 FINDINGS

#169gmonce/scikit-learn-book[ JUPYTER NOTEBOOK ]0.11 #224raiyanyahya/how-to-train-your-gpt[ JUPYTER NOTEBOOK ]0.0763 #242VintaBytes/Ciencia-de-datos[ JUPYTER NOTEBOOK ]0.0687 #270xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.0594 #316zorost/AI-Engineering-Lab[ JUPYTER NOTEBOOK ]0.0445

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 4%

VELOCITY2.573.71-1.14ABOVE 34%

RETENTION45.0%38.0%+7.0 PPABOVE 61%

FORKS12486+38ABOVE 59%

SURPRISE0.000.01-0.01ABOVE 2%