Github Trends®
9771 findingsmedian surprise 0.00917window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #6753 · UNIT ID 1337900872
livetennisapi/polymarket-tennis
Polymarket tennis trading toolkit (Python, MIT, observe-only): discover tennis markets on the Gamma API, match them to live tennis matches, watch market price vs live score, server and break point. The data layer for a Polymarket or Kalshi tennis trading bot.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0705
ENGAGEMENT0.87
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
77% 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

Growth Telemetry

VELOCITY /D
27.29
ACCEL
-4.04
RETENTION
25.3%
PEAK 2026-08-25 · FORK-RETENTION 34.5% · 191 STARS / WINDOW

Author Audience

AUDIENCE
347
FOLLOWERS
166
OWNER ★
444

Engagement Signals

FORKS
244
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 191 / 191 (DIVERSITY 1.00)

Why This Is A Finding

livetennisapi/polymarket-tennis собрал 191 звёзд за окно, тогда как у автора всего 166 подписчиков — эффективная аудитория ≈ 347. Это даёт surprise-индекс 0.0705 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 34.5% 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
SCORE0.000.00-0.00ABOVE 31%
VELOCITY27.293.71+23.57ABOVE 91%
RETENTION25.3%39.3%-14.0 PPABOVE 32%
FORKS24491+153ABOVE 73%
SURPRISE0.070.01+0.06ABOVE 91%