amitshekhariitbhu/llm-inference-engineering — GitHub trend

FINDING #8041 · UNIT ID 1337918481

amitshekhariitbhu/llm-inference-engineering

Learn LLM Inference Engineering step by step - from KV cache, PagedAttention, and continuous batching to vLLM, SGLang, and GPUs.

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SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.000188

ENGAGEMENT0.20

FRESHNESS1.00

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

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

4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

3.00

ACCEL

+4.50

RETENTION

0.0%

PEAK 2026-08-29 · FORK-RETENTION 0.0% · 9 STARS / WINDOW

Author Audience

AUDIENCE

15,878

FOLLOWERS

8,725

OWNER ★

71,592

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 9 / 9 (DIVERSITY 1.00)

Why This Is A Finding

amitshekhariitbhu/llm-inference-engineering собрал 9 звёзд за окно, тогда как у автора всего 8,725 подписчиков — эффективная аудитория ≈ 15,878. Это даёт surprise-индекс 0.000188 (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 12% OF 9102 FINDINGS

#753Vasik96/gtav-sourcecode-build-guide[ MARKDOWN ]0.0228 #857Owl-Listener/designer-skills[ MARKDOWN ]0.0199 #1445jakubkrehel/skills[ MARKDOWN ]0.0106 #1879emilkowalski/skills[ MARKDOWN ]0.00731 #3304jakubkrehel/make-interfaces-feel-better[ MARKDOWN ]0.00244

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 12%

VELOCITY3.005.67-2.67ABOVE 10%

RETENTION0.0%45.5%-45.5 PPABOVE 0%

FORKS26340-313ABOVE 14%

SURPRISE0.000.00-0.00ABOVE 9%