Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1600 · UNIT ID 1334454708
libnyx/LT2MD
AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text beside each caption instead of empty links. It checks an earlier conversion against the PDF and fixes misread or missing parts. Long PDFs run in small saved batches with an independent review pass, each paragraph tagged with its page.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0569
ENGAGEMENT0.17
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
12% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.67
ACCEL
+4.00
RETENTION
0.0%
PEAK 2026-08-29 · FORK-RETENTION 0.0% · 8 STARS / WINDOW

Author Audience

AUDIENCE
7
FOLLOWERS
0
OWNER ★
69

Engagement Signals

FORKS
3
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 8 / 8 (DIVERSITY 1.00)

Why This Is A Finding

libnyx/LT2MD собрал 8 звёзд за окно, тогда как у автора всего 0 подписчиков — эффективная аудитория ≈ 7. Это даёт surprise-индекс 0.0569 (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 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 82%
VELOCITY2.675.67-3.00ABOVE 0%
RETENTION0.0%45.5%-45.5 PPABOVE 0%
FORKS3340-336ABOVE 4%
SURPRISE0.060.00+0.05ABOVE 89%