decodingai-magazine/second-brain-ai-assistant-course — GitHub trend

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FINDING #4248 · UNIT ID 910125376

decodingai-magazine/second-brain-ai-assistant-course

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00134

ENGAGEMENT0.20

FRESHNESS1.32

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.53

ACCEL

+0.09

RETENTION

11.1%

PEAK 2026-07-02 · FORK-RETENTION 0.0% · 136 STARS / WINDOW

Author Audience

AUDIENCE

3,333

FOLLOWERS

821

OWNER ★

8,457

Engagement Signals

FORKS

508

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 136 / 136 (DIVERSITY 1.00)

Why This Is A Finding

decodingai-magazine/second-brain-ai-assistant-course собрал 136 звёзд за окно, тогда как у автора всего 821 подписчиков — эффективная аудитория ≈ 3,333. Это даёт surprise-индекс 0.00134 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 33% OF 6295 FINDINGS

#97adrida/tracer[ JUPYTER NOTEBOOK ]0.10 #1004lyogavin/airllm[ JUPYTER NOTEBOOK ]0.0124 #1251physx-omni/PhysX-Omni[ JUPYTER NOTEBOOK ]0.0103 #1614CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.00797 #1686tkarim45/Beginner-Data-Science-Projects[ JUPYTER NOTEBOOK ]0.0076

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 33%

VELOCITY4.534.23+0.30ABOVE 52%

RETENTION11.1%29.4%-18.4 PPABOVE 15%

FORKS50892+416ABOVE 86%

SURPRISE0.000.01-0.01ABOVE 16%