Github Trends®
8833 findingsmedian surprise 0.00433window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2382 · UNIT ID 1095124066
LIDR-academy/lidr-specboot
This repository contains a comprehensive set of development rules, standards, and AI agent configurations designed to work seamlessly with multiple AI coding copilots. The setup is portable and can be imported into any project to provide consistent, high-quality AI-assisted development.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00671
ENGAGEMENT0.80
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
29% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
6.67
ACCEL
-5.50
RETENTION
26.9%
PEAK 2026-09-10 · FORK-RETENTION 56.3% · 20 STARS / WINDOW

Author Audience

AUDIENCE
953
FOLLOWERS
388
OWNER ★
890

Engagement Signals

FORKS
69
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 20 / 20 (DIVERSITY 1.00)

Why This Is A Finding

LIDR-academy/lidr-specboot собрал 20 звёзд за окно, тогда как у автора всего 388 подписчиков — эффективная аудитория ≈ 953. Это даёт surprise-индекс 0.00671 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 56.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 8833 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 73%
VELOCITY6.675.67+1.00ABOVE 56%
RETENTION26.9%45.9%-19.0 PPABOVE 33%
FORKS69344-275ABOVE 23%
SURPRISE0.010.00+0.00ABOVE 58%