Github Trends®
9771 findingsmedian surprise 0.00917window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #3161 · 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

SURPRISE0.0111
ENGAGEMENT0.34
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
26.86
ACCEL
-4.36
RETENTION
57.9%
PEAK 2026-08-23 · FORK-RETENTION 87.5% · 188 STARS / WINDOW

Author Audience

AUDIENCE
2,372
FOLLOWERS
423
OWNER ★
7,642

Engagement Signals

FORKS
912
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 188 / 188 (DIVERSITY 1.00)

Why This Is A Finding

XBuilderLAB/cheat-on-content собрал 188 звёзд за окно, тогда как у автора всего 423 подписчиков — эффективная аудитория ≈ 2,372. Это даёт surprise-индекс 0.0111 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 87.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 68%
VELOCITY26.863.71+23.14ABOVE 91%
RETENTION57.9%39.3%+18.6 PPABOVE 77%
FORKS91291+821ABOVE 92%
SURPRISE0.010.01+0.00ABOVE 55%