HandsOnLLM/Hands-On-Large-Language-Models — GitHub trend

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FINDING #2991 · UNIT ID 821372392

HandsOnLLM/Hands-On-Large-Language-Models

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0052

ENGAGEMENT0.57

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

40.33

ACCEL

+18.00

RETENTION

0.0%

PEAK 2026-08-28 · FORK-RETENTION 0.0% · 121 STARS / WINDOW

Author Audience

AUDIENCE

7,715

FOLLOWERS

985

OWNER ★

28,724

Engagement Signals

FORKS

6,591

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 121 / 121 (DIVERSITY 1.00)

Why This Is A Finding

HandsOnLLM/Hands-On-Large-Language-Models собрал 121 звёзд за окно, тогда как у автора всего 985 подписчиков — эффективная аудитория ≈ 7,715. Это даёт surprise-индекс 0.0052 (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 69% OF 9558 FINDINGS

#200Nicolepcx/ai-agents-the-definitive-guide[ JUPYTER NOTEBOOK ]0.0978 #244zorost/AI-Engineering-Lab[ JUPYTER NOTEBOOK ]0.0731 #299Mengmouxu/SceneGen[ JUPYTER NOTEBOOK ]0.0543 #308gothmania/pytutor[ JUPYTER NOTEBOOK ]0.0522 #447xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.0407

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 69%

VELOCITY40.335.67+34.67ABOVE 93%

RETENTION0.0%42.9%-42.9 PPABOVE 0%

FORKS6,591333+6,258ABOVE 95%

SURPRISE0.010.00+0.00ABOVE 53%