Github Trends®
9789 findingsmedian surprise 0.00728window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #2533 · UNIT ID 1065913270
safarsin/AutoRewarder
An advanced, set-and-forget automation tool for Microsoft Rewards. AutoRewarder performs Bing searches for PC and mobile point collection, collects Daily Sets, and uses mathematically driven, human-like input simulation (W3C Actions, Bezier curves, and smart scrolling). Packaged as an executable app for a seamless, plug-and-play experience
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0258
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.14
ACCEL
-0.07
RETENTION
45.8%
PEAK 2026-09-06 · FORK-RETENTION 0.0% · 15 STARS / WINDOW

Author Audience

AUDIENCE
43
FOLLOWERS
14
OWNER ★
291

Engagement Signals

FORKS
24
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 15 / 15 (DIVERSITY 1.00)

Why This Is A Finding

safarsin/AutoRewarder собрал 15 звёзд за окно, тогда как у автора всего 14 подписчиков — эффективная аудитория ≈ 43. Это даёт surprise-индекс 0.0258 (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 9789 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 74%
VELOCITY2.143.43-1.29ABOVE 27%
RETENTION45.8%37.5%+8.3 PPABOVE 62%
FORKS24119-95ABOVE 19%
SURPRISE0.030.01+0.02ABOVE 79%