Everything You Never Wanted To Know About Square Taper Bottom Bracket Spindle Standards
jasonatwood.io·1d
⚙️Cassette Mechanics
AT&T to pay compensation to data breach victims. Here’s how to check if you were affected
malwarebytes.com·7h
🔍NTLM Forensics
Doing My Day Job on Chimera Linux
wezm.net·1d
🍎XNU Internals
The race to make AI as multilingual as Europe
thenextweb.com·12h
🎙️Whisper
4-input 2-output Boolean circuits (2020)
cp4space.hatsya.com·6d·
Discuss: Hacker News
⚙️Logic Synthesis
How to Write Complex Queries in Apache Spark SQL Using CTE (WITH Clause)
hackernoon.com·23h
🧮Algebraic Datatypes
Understanding the Heat Treatment Process Behind Quenched & Tempered Plates
dev.to·9h·
Discuss: DEV
🔐Systems Hardening
Searching for a cheap robot vacuum? These 3 are the best budget bots on the market
techradar.com·1h
🏠Home Automation
A List Is a Monad
alexyorke.github.io·1d·
Discuss: Hacker News
🧬Functional Programming
Join PCBWay’s 11th Anniversary Celebration — Coupons, Modules Are Waiting for You (Sponsored)
cnx-software.com·14h
🖥️Modern Terminals
Time’s up for Teams: Why the end of Teams Classic support demands immediate enterprise action
techradar.com·11h
🦋Format Evolution
A Plea for History and Philosophy of Statistics and Machine Learning
arxiv.org·14h
🧠Machine Learning
Flame Graph Performance Truth Analysis（1751071051660200）
dev.to·2d·
Discuss: DEV
⚡Performance Tools
How to prove Gödel’s First Incompleteness Theorem using Typescript
dev.to·11h·
Discuss: DEV
🐓Coq
Sirius: A GPU-native SQL engine
github.com·2d·
Discuss: Hacker News
🗄️Database Internals
CPU Cache Friendly Data Structure Design Key Technologies for Algorithm Performance Improvement（1751201680288300）
dev.to·1d·
Discuss: DEV
🔩Systems Programming
Mastering Timeout Control in Go with Goroutines
dev.to·17h·
Discuss: DEV
🌊Streaming Systems
Redid my network, who says you need a rack...
i.redd.it·17h·
Discuss: r/homelab
🖥Home Lab Setup
Beyond Hex and RGB: A New World of Color with LCH, Oklab, and color-mix()
dev.to·22h·
Discuss: DEV
📟Terminal Typography
TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarization
arxiv.org·14h
⚖️Feed Ranking