teng-lin/notebooklm-py — GitHub trend

FINDING #2995 · UNIT ID 1129786550

teng-lin/notebooklm-py

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00124

ENGAGEMENT0.73

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

4.00

ACCEL

-6.00

RETENTION

0.0%

PEAK 2026-10-15 · FORK-RETENTION 0.0% · 12 STARS / WINDOW

Author Audience

AUDIENCE

3,194

FOLLOWERS

1,113

OWNER ★

20,808

Engagement Signals

FORKS

2,635

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 12 / 12 (DIVERSITY 1.00)

Why This Is A Finding

teng-lin/notebooklm-py собрал 12 звёзд за окно, тогда как у автора всего 1,113 подписчиков — эффективная аудитория ≈ 3,194. Это даёт surprise-индекс 0.00124 (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.

Related Findings

RANKS ABOVE 40% OF 4978 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 40%

VELOCITY4.005.33-1.33ABOVE 31%

RETENTION0.0%0.0%0.0 PPABOVE 0%

FORKS2,635346+2,289ABOVE 84%

SURPRISE0.000.00-0.00ABOVE 29%