🌐 Edge Preservation

Distributed Archives, Local Storage Networks, Offline-first Systems, Regional Replication

Stretch budgets, keep control: the case for parent-funded, school-managed devices
jamf.com·1d
🖥️Self-hosted Infrastructure
What’s new in Google Workspace: Integrations that actually make a difference for SMBs
ghacks.net·2d
🤖Archive Automation
Interdependence - Gabriela Jauregui - Elective Affinities for the Common Good
e-flux.com·9h
📕Bookbinding
Meta Swears This Time Is Different
theatlantic.com·17h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Claude Code on Amazon Bedrock - Anthropic
docs.anthropic.com·1d
👑Isabelle
Cresting the 0Caml Al Humps
anil.recoil.org·1d·
Discuss: Hacker News
🦀Rust Macros
A PhD's Apology
cappadokes.github.io·3d·
Discuss: Hacker News
🧮Theoretical Computer Science
A Field Guide to the North American Cold Chain
hackaday.com·2d
🧊Arctic Storage
How to design an actually good flash flood alert system
theverge.com·3h
📡RSS Readers
Redefining Data Operations With Data Flow Programming in CocoIndex
hackernoon.com·2d
🌊Stream Processing
Advanced PDF Optimization Techniques - 1752741
dev.to·2d·
Discuss: DEV
📝Text Compression
AWS AI League: Learn, innovate, and compete in our new ultimate AI showdown
aws.amazon.com·1d
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
How AI Can Speed up Modernization of Your Legacy IT Systems
thenewstack.io·23h
🏛️Mainframe Archaeology
Cloudflare 1.1.1.1 Incident on July 14, 2025
blog.cloudflare.com·3d·
Discuss: Lobsters, Hacker News
🛣️BGP Hijacking
Antivirus vs Anti-malware: which is best for you?
techradar.com·1d
🦠Malware Analysis
MobiWorld: World Models for Mobile Wireless Network
arxiv.org·4d
🕸️Network Topology
It sure feels like we're speeding toward Skynet faster than most people imagined—even just a couple years ago.
dev.to·9h·
Discuss: DEV
🔲Cellular Automata
[ANN] Open-Sourcing CallFS: A High-Performance REST API Filesystem in Go
reddit.com·4d·
Discuss: r/golang
🔌Archive APIs
Stop Fighting Image Formats: A Developer's Guide to Streamlined Image Processing
dev.to·3d·
Discuss: DEV
📸PNG Optimization
Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery
arxiv.org·1d
🧠Machine Learning