Github Trends®
9591 findingsmedian surprise 0.00783window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #5117 · UNIT ID 1079107863
PleasePrompto/notebooklm-skill
Use this skill to enable Claude Code to communicate directly with your Google NotebookLM notebooks. Query your uploaded documents and get source-grounded, citation-backed answers from Gemini. Features browser automation, library management, persistent authentication, and answers exclusively from your own knowledge base.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00324
ENGAGEMENT0.45
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
5.30
ACCEL
+0.12
RETENTION
92.9%
PEAK 2026-08-27 · FORK-RETENTION 12.0% · 159 STARS / WINDOW

Author Audience

AUDIENCE
1,593
FOLLOWERS
396
OWNER ★
11,973

Engagement Signals

FORKS
871
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 159 / 159 (DIVERSITY 1.00)

Why This Is A Finding

PleasePrompto/notebooklm-skill собрал 159 звёзд за окно, тогда как у автора всего 396 подписчиков — эффективная аудитория ≈ 1,593. Это даёт surprise-индекс 0.00324 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 12.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 47%
VELOCITY5.303.63+1.67ABOVE 63%
RETENTION92.9%24.8%+68.0 PPABOVE 100%
FORKS871120+751ABOVE 89%
SURPRISE0.000.01-0.00ABOVE 29%