Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #3614 · UNIT ID 1126217925
SII-WANGZJ/Polymarket_data
A comprehensive dataset of 1.1 billion trading records from Polymarket, processed into multiple analysis-ready formats. Features cleaned data, unified token perspectives, and user-level transformations — ready for market research, behavioral studies, and quantitative analysis.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0285
ENGAGEMENT0.20
FRESHNESS1.31
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
99% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · S10

Growth Telemetry

VELOCITY /D
3.86
ACCEL
-0.01
RETENTION
1.8%
PEAK 2026-04-19 · FORK-RETENTION 0.0% · 694 STARS / WINDOW

Author Audience

AUDIENCE
95
FOLLOWERS
25
OWNER ★
704

Engagement Signals

FORKS
104
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 694 / 694 (DIVERSITY 1.00)

Why This Is A Finding

SII-WANGZJ/Polymarket_data собрал 694 звёзд за окно, тогда как у автора всего 25 подписчиков — эффективная аудитория ≈ 95. Это даёт surprise-индекс 0.0285 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 39%
VELOCITY3.863.29+0.56ABOVE 56%
RETENTION1.8%11.3%-9.5 PPABOVE 5%
FORKS10499+5ABOVE 51%
SURPRISE0.030.01+0.02ABOVE 90%