Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #1414 · 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

SURPRISE0.0117
ENGAGEMENT0.20
FRESHNESS1.41
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
22% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
17.77
ACCEL
-0.14
RETENTION
36.2%
PEAK 2026-06-01 · FORK-RETENTION 0.0% · 1,599 STARS / WINDOW

Author Audience

AUDIENCE
1,476
FOLLOWERS
361
OWNER ★
11,148

Engagement Signals

FORKS
829
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,599 / 1,599 (DIVERSITY 1.00)

Why This Is A Finding

PleasePrompto/notebooklm-skill собрал 1,599 звёзд за окно, тогда как у автора всего 361 подписчиков — эффективная аудитория ≈ 1,476. Это даёт surprise-индекс 0.0117 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 78%
VELOCITY17.773.99+13.77ABOVE 87%
RETENTION36.2%17.1%+19.1 PPABOVE 86%
FORKS82990+740ABOVE 92%
SURPRISE0.010.01-0.00ABOVE 49%