Github Trends®
9582 findingsmedian surprise 0.00484window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #94 · UNIT ID 1376081650
kraayenjon/awesome-jev
A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.16
ENGAGEMENT2.18
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
25% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
10.67
ACCEL
+6.50
RETENTION
68.4%
PEAK 2026-09-22 · FORK-RETENTION 70.0% · 32 STARS / WINDOW

Author Audience

AUDIENCE
26
FOLLOWERS
11
OWNER ★
150

Engagement Signals

FORKS
27
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 32 / 32 (DIVERSITY 1.00)

Why This Is A Finding

kraayenjon/awesome-jev собрал 32 звёзд за окно, тогда как у автора всего 11 подписчиков — эффективная аудитория ≈ 26. Это даёт surprise-индекс 0.16 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 70.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9582 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.270.00+0.27ABOVE 99%
VELOCITY10.675.67+5.00ABOVE 71%
RETENTION68.4%43.8%+24.7 PPABOVE 73%
FORKS27326-299ABOVE 14%
SURPRISE0.160.00+0.16ABOVE 96%