Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2625 · 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

SURPRISE0.0063
ENGAGEMENT0.56
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
10.33
ACCEL
-5.00
RETENTION
60.7%
PEAK 2026-08-27 · FORK-RETENTION 71.4% · 31 STARS / WINDOW

Author Audience

AUDIENCE
1,599
FOLLOWERS
399
OWNER ★
12,000

Engagement Signals

FORKS
873
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 31 / 31 (DIVERSITY 1.00)

Why This Is A Finding

PleasePrompto/notebooklm-skill собрал 31 звёзд за окно, тогда как у автора всего 399 подписчиков — эффективная аудитория ≈ 1,599. Это даёт surprise-индекс 0.0063 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 71.4% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 71%
VELOCITY10.335.67+4.67ABOVE 71%
RETENTION60.7%45.5%+15.3 PPABOVE 68%
FORKS873340+534ABOVE 68%
SURPRISE0.010.00+0.00ABOVE 57%