Github Trends®
9771 findingsmedian surprise 0.00917window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #4509 · 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

SURPRISE0.00418
ENGAGEMENT0.57
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
6.86
ACCEL
+1.32
RETENTION
60.7%
PEAK 2026-08-27 · FORK-RETENTION 45.5% · 48 STARS / WINDOW

Author Audience

AUDIENCE
1,599
FOLLOWERS
399
OWNER ★
12,000

Engagement Signals

FORKS
873
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 48 / 48 (DIVERSITY 1.00)

Why This Is A Finding

PleasePrompto/notebooklm-skill собрал 48 звёзд за окно, тогда как у автора всего 399 подписчиков — эффективная аудитория ≈ 1,599. Это даёт surprise-индекс 0.00418 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 45.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 54%
VELOCITY6.863.71+3.14ABOVE 70%
RETENTION60.7%39.3%+21.4 PPABOVE 81%
FORKS87391+782ABOVE 92%
SURPRISE0.000.01-0.00ABOVE 31%