Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2763 · 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

SURPRISE0.00843
ENGAGEMENT0.30
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
20.33
ACCEL
-4.00
RETENTION
77.1%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 61 STARS / WINDOW

Author Audience

AUDIENCE
2,372
FOLLOWERS
423
OWNER ★
7,642

Engagement Signals

FORKS
912
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 61 / 61 (DIVERSITY 1.00)

Why This Is A Finding

XBuilderLAB/cheat-on-content собрал 61 звёзд за окно, тогда как у автора всего 423 подписчиков — эффективная аудитория ≈ 2,372. Это даёт surprise-индекс 0.00843 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 70%
VELOCITY20.335.67+14.67ABOVE 86%
RETENTION77.1%45.5%+31.6 PPABOVE 84%
FORKS912340+573ABOVE 69%
SURPRISE0.010.00+0.00ABOVE 61%