FloatingPragma/observer-patch-holography — GitHub trend

FINDING #1474 · UNIT ID 1136669835

FloatingPragma/observer-patch-holography

Open research on finite observer-consistency in physics: Lean-checked theorems and lemmas, reproducible simulations, explicit countermodels, and clearly tracked open physical bridges.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0216

ENGAGEMENT0.39

FRESHNESS1.00

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

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

5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.86

ACCEL

-0.18

RETENTION

56.3%

PEAK 2026-08-08 · FORK-RETENTION 0.0% · 34 STARS / WINDOW

Author Audience

AUDIENCE

185

FOLLOWERS

OWNER ★

655

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 34 / 34 (DIVERSITY 1.00)

Why This Is A Finding

FloatingPragma/observer-patch-holography собрал 34 звёзд за окно, тогда как у автора всего 27 подписчиков — эффективная аудитория ≈ 185. Это даёт surprise-индекс 0.0216 (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 85% OF 9721 FINDINGS

#07semantica-agi/semantica[ PYTHON ]0.38 #08531149627/MonsterDeleter[ PYTHON ]0.37 #09Pan-Chera/Multi-Agent-CAD[ PYTHON ]0.34 #12xmarre/ComfyUI-Spectrum-MiniMax-H3[ PYTHON ]0.33 #14kaibush/grok-register[ PYTHON ]0.32

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9721 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 85%

VELOCITY4.863.43+1.43ABOVE 61%

RETENTION56.3%32.1%+24.1 PPABOVE 85%

FORKS84130-46ABOVE 39%

SURPRISE0.020.01+0.02ABOVE 77%