Github Trends®
9760 findingsmedian surprise 0.0099window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8546 · UNIT ID 600522835
BEPb/image_to_ascii
Everything is very simple: you either download a picture file or specify its link when running a python script, and output you get a text file, and you can immediately view on the command line how it will look the result of your conversion.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000134
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
13% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.71
ACCEL
+2.75
RETENTION
0.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 26 STARS / WINDOW

Author Audience

AUDIENCE
27,630
FOLLOWERS
27,034
OWNER ★
5,964

Engagement Signals

FORKS
16
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 26 / 26 (DIVERSITY 1.00)

Why This Is A Finding

BEPb/image_to_ascii собрал 26 звёзд за окно, тогда как у автора всего 27,034 подписчиков — эффективная аудитория ≈ 27,630. Это даёт surprise-индекс 0.000134 (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 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 12%
VELOCITY3.713.710.00ABOVE 49%
RETENTION0.0%38.0%-38.0 PPABOVE 0%
FORKS1686-70ABOVE 17%
SURPRISE0.000.01-0.01ABOVE 5%