Github Trends®
1696 findingsmedian surprise 0.00059window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #585 · 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

SURPRISE0.00166
ENGAGEMENT0.45
FRESHNESS1.43
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.71
ACCEL
-0.06
RETENTION
12.4%
PEAK 2026-03-14 · FORK-RETENTION 76.1% · 487 STARS / WINDOW

Author Audience

AUDIENCE
1,593
FOLLOWERS
396
OWNER ★
11,973

Engagement Signals

FORKS
871
ISSUE AUTH
0
PR AUTH
1
UNIQUE STARGAZERS 487 / 487 (DIVERSITY 1.00)

Why This Is A Finding

PleasePrompto/notebooklm-skill собрал 487 звёзд за окно, тогда как у автора всего 396 подписчиков — эффективная аудитория ≈ 1,593. Это даёт surprise-индекс 0.00166 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 76.1% и 1 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1696 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 66%
VELOCITY2.712.82-0.12ABOVE 48%
RETENTION12.4%4.8%+7.6 PPABOVE 85%
FORKS8711,584-712ABOVE 35%
SURPRISE0.000.00+0.00ABOVE 70%