Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #5224 · UNIT ID 1229729956
XBuilderLAB/cheat-on-content
You're reading this. The skill predicted it. A workflow that turns every post into a calibrated experiment—score, blind-predict, retro, evolve. The future doesn't reward effort, it rewards those who see the pattern first. 1M followers in a month — not luck, system.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00291
ENGAGEMENT0.32
FRESHNESS1.66
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
7.73
ACCEL
-0.17
RETENTION
46.6%
PEAK 2026-09-18 · FORK-RETENTION 94.1% · 232 STARS / WINDOW

Author Audience

AUDIENCE
2,620
FOLLOWERS
478
OWNER ★
8,321

Engagement Signals

FORKS
963
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 232 / 232 (DIVERSITY 1.00)

Why This Is A Finding

XBuilderLAB/cheat-on-content собрал 232 звёзд за окно, тогда как у автора всего 478 подписчиков — эффективная аудитория ≈ 2,620. Это даёт surprise-индекс 0.00291 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 94.1% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 46%
VELOCITY7.733.80+3.93ABOVE 72%
RETENTION46.6%20.3%+26.3 PPABOVE 92%
FORKS963138+825ABOVE 88%
SURPRISE0.000.01-0.00ABOVE 30%