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💾 Prompt Caching
Context Reuse, KV Cache, Inference Optimization, Token Efficiency
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26554
posts in
560.1
ms
Everything I know about good system design
seangoedecke.com
·
2d
⚙️
Database Internals
N-Grams
and Other
Experiments
dotterrer.bearblog.dev
·
18h
📝
Text Parsing
A simple and
ultrafast
reverse-proxy serving multiple domain names with TLS
termination
rpxy.io
·
6h
🌐
Pingora
A high-performance Go framework (
250k
+
req/sec
) with built-in batteries
go-kvolt.github.io
·
2d
⚡
Glommio
[
TUHS
] bare m4 (was BTL
summmer
employees)
tuhs.org
·
19h
·
Discuss:
Lobsters
⚙
Rust Macros
The Avatar Cache:
Enabling
On-Demand Security with
Morphable
Cache Architecture
arxiv.org
·
3d
⚙️
Mechanical Sympathy
XShare
: Collaborative in-Batch Expert Sharing for Faster
MoE
Inference
arxiv.org
·
2d
📦
Batch Embeddings
Thoughts
on
Generating
C
news.ycombinator.com
·
2d
·
Discuss:
Hacker News
⚡
Const Evaluation
Auto
Remove
Filler
Words & Bad Takes
timebolt.io
·
8h
📝
Text Compression
Raising the Bar on Humanity’s Last Exam (
HLE
) and
SimpleQA
poetiq.ai
·
4h
🏆
LLM Benchmarking
Digitizing
the "
Shokunin
": How we encoded a Master's hammer strike into AI
yusukekaizen.substack.com
·
5h
·
Discuss:
Substack
🆕
New AI
ui.sh
ui.sh
·
15h
💻
CLI UX
DASL
: Web
Tiles
dasl.ing
·
1d
·
Discuss:
Hacker News
🌐
Web Standards
Benchmark
&
Compare
the Best AI Models
arena.ai
·
20h
🏆
LLM Benchmarking
Generate
Videos with Audio
Sync
seedance2.app
·
2d
·
Discuss:
Hacker News
✨
Gemini
Sneaky
quokka
: Testing and debugging with LLMs
honnibal.dev
·
2d
🕳
LLM Vulnerabilities
How2Everything
: Mining the web to evaluate and improve LLMs on real-world
procedures
allenai.org
·
1d
·
Discuss:
Hacker News
🏆
LLM Benchmarking
Separation
of Concerns: You're Cutting
Along
the Wrong Line
inferal.com
·
6h
·
Discuss:
Hacker News
📦
In-process Databases
AI agent
sandboxing
in 2026: how to choose between primitives,
runtimes
, and platforms
manveerc.substack.com
·
17h
·
Discuss:
Substack
🌍
Distributed Systems
Redefining
Go
Functions
news.ycombinator.com
·
1d
·
Discuss:
Hacker News
🌐
Axum
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