Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2847 · 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

SURPRISE0.00832
ENGAGEMENT0.33
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
20.00
ACCEL
+3.00
RETENTION
87.5%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 60 STARS / WINDOW

Author Audience

AUDIENCE
2,363
FOLLOWERS
422
OWNER ★
7,615

Engagement Signals

FORKS
910
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 60 / 60 (DIVERSITY 1.00)

Why This Is A Finding

XBuilderLAB/cheat-on-content собрал 60 звёзд за окно, тогда как у автора всего 422 подписчиков — эффективная аудитория ≈ 2,363. Это даёт surprise-индекс 0.00832 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 70%
VELOCITY20.005.67+14.33ABOVE 86%
RETENTION87.5%42.9%+44.6 PPABOVE 91%
FORKS910333+577ABOVE 69%
SURPRISE0.010.00+0.00ABOVE 61%