Github Trends®
6892 findingsmedian surprise 0.0109window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #266 · UNIT ID 1291567399
jbwinters/jacquard-lang
Jacquard is a small programming language designed for a regime in which most code is written by machine-learning models and reviewed by people.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.22
ENGAGEMENT0.086
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
99% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
13.14
ACCEL
+5.75
RETENTION
8.5%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 92 STARS / WINDOW

Author Audience

AUDIENCE
20
FOLLOWERS
9
OWNER ★
112

Engagement Signals

FORKS
2
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 92 / 92 (DIVERSITY 1.00)

Why This Is A Finding

jbwinters/jacquard-lang собрал 92 звёзд за окно, тогда как у автора всего 9 подписчиков — эффективная аудитория ≈ 20. Это даёт surprise-индекс 0.22 (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 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.040.00+0.04ABOVE 96%
VELOCITY13.144.14+9.00ABOVE 80%
RETENTION8.5%40.6%-32.2 PPABOVE 17%
FORKS289-87ABOVE 2%
SURPRISE0.220.01+0.21ABOVE 98%