Forward-Future/loopy — GitHub trend

FINDING #3974 · UNIT ID 1267442907

Forward-Future/loopy

A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.

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SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0047

ENGAGEMENT0.32

FRESHNESS1.00

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

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

0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.33

ACCEL

-2.00

RETENTION

14.3%

PEAK 2026-08-28 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE

882

FOLLOWERS

108

OWNER ★

3,342

Engagement Signals

FORKS

277

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

Forward-Future/loopy собрал 13 звёзд за окно, тогда как у автора всего 108 подписчиков — эффективная аудитория ≈ 882. Это даёт surprise-индекс 0.0047 (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 56% OF 9102 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 56%

VELOCITY4.335.67-1.33ABOVE 35%

RETENTION14.3%45.5%-31.2 PPABOVE 25%

FORKS277340-62ABOVE 46%

SURPRISE0.000.00+0.00ABOVE 52%