Be the LetsEncrypt in your homelab with step-ca
jan.wildeboer.net·1d
🏠Homelab Pentesting
Installing *BSD in 2025 part 5 – Bonus: A look beyond our teacup
eerielinux.wordpress.com·3d
🔌Operating system internals
Map MIDI Events to a Computer Keyboard
midikey2key.de·1d·
Discuss: Hacker News
🎹MIDI Archaeology
Microsoft CEO Sees Quantum as 'Next Big Accelerator in Cloud'
thequantuminsider.com·13h·
Discuss: Hacker News
🏠Homelab Orchestration
The Dartboard Sequence
mathpages.com·1d·
Discuss: Hacker News
🎞️Tape Combinatorics
The smallest embeddable scripting language, part 1
log.schemescape.com·15h·
Discuss: Lobsters, Hacker News, r/programming
⚙️PL Implementation
PowerBank & Intellistake To Pioneer Digital Currencies ; Unveils Bitcoin Treasury & RWA Plans
hackernoon.com·17h
⏳Time Capsule Networks
These Noise-Canceling Bose Earbuds Are at Their Lowest Price Ever
lifehacker.com·1d
🎧Vorbis Encoding
Efficient Sub-pixel Motion Compensation in Learned Video Codecs
arxiv.org·2d
🧠Learned Codecs
Proton Releases New Two-Factor Authentication App
macrumors.com·20h
🛡️ARM TrustZone
Microsoft reports strong cloud earnings, with Windows and Xbox up too
theverge.com·1d
🕸️WASM Archives
🧠 Why We Built compressimage: Rethinking Image Compression from the Ground Up
dev.to·3d·
Discuss: DEV
📸PNG Optimization
BookLore is a self-hosted app for managing and reading books and comics
github.com·1d·
Discuss: Hacker News
📦METS Containers
Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
arxiv.org·1d
📐Projective Geometry
iOS 26: How to Use the New Music Pins Feature
macrumors.com·1d
🍎Apple Archive
KBR, Inc. (KBR) Q2 2025 Earnings Call Transcript
seekingalpha.com·13h
🌊Streaming Databases
Alamos Gold Inc. (AGI) Q2 2025 Earnings Call Transcript
seekingalpha.com·3h
🗿EBCDIC Archaeology
Growing my first Homelab - but could do with some Advice...
i.redd.it·6h·
Discuss: r/homelab
🏠HomeLab
ITX mobo choice - wtf to do..
reddit.com·12h·
Discuss: r/homelab
🖥Home Lab Setup
FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
arxiv.org·3h
🤐Secure Multiparty