Github Trends®
8058 findingsmedian surprise 0.00349window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #5295 · UNIT ID 404144554
chaiNNer-org/chaiNNer
A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00112
ENGAGEMENT0.32
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
1.86
ACCEL
-0.11
RETENTION
19.4%
PEAK 2026-10-12 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE
1,618
FOLLOWERS
160
OWNER ★
6,492

Engagement Signals

FORKS
376
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

chaiNNer-org/chaiNNer собрал 13 звёзд за окно, тогда как у автора всего 160 подписчиков — эффективная аудитория ≈ 1,618. Это даёт surprise-индекс 0.00112 (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 8058 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 34%
VELOCITY1.863.14-1.29ABOVE 20%
RETENTION19.4%22.2%-2.8 PPABOVE 46%
FORKS376260+116ABOVE 57%
SURPRISE0.000.00-0.00ABOVE 32%