amitshekhariitbhu/llm-inference-engineering — GitHub trend

FINDING #8409 · 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

SURPRISE0.000144

ENGAGEMENT0.30

FRESHNESS1.00

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

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

7% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.29

ACCEL

+0.61

RETENTION

0.0%

PEAK 2026-08-29 · FORK-RETENTION 0.0% · 16 STARS / WINDOW

Author Audience

AUDIENCE

15,884

FOLLOWERS

8,725

OWNER ★

71,592

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)

Why This Is A Finding

amitshekhariitbhu/llm-inference-engineering собрал 16 звёзд за окно, тогда как у автора всего 8,725 подписчиков — эффективная аудитория ≈ 15,884. Это даёт surprise-индекс 0.000144 (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 14% OF 9771 FINDINGS

#670Owl-Listener/designer-skills[ MARKDOWN ]0.0267 #1004Vasik96/gtav-sourcecode-build-guide[ MARKDOWN ]0.0188 #1423jakubkrehel/skills[ MARKDOWN ]0.0134 #2117emilkowalski/skills[ MARKDOWN ]0.00888 #4141jakubkrehel/make-interfaces-feel-better[ MARKDOWN ]0.00329

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 14%

VELOCITY2.293.71-1.43ABOVE 29%

RETENTION0.0%39.3%-39.3 PPABOVE 0%

FORKS2691-65ABOVE 23%

SURPRISE0.000.01-0.01ABOVE 5%