A Figma plugin for Laser Cutting
heyraviteja.com·21h·
Discuss: Hacker News
🐫Embedded OCaml
How to Scam the Scammers
derogab.com·1d·
Discuss: Hacker News
🌐NetworkProtocols
Does HN automatically change the title of post without human intervention?
news.ycombinator.com·1h·
Discuss: Hacker News
📚Automata Learning
How we supercharged GitLab CI statuses with WebSockets
about.gitlab.com·1d·
Discuss: Hacker News
👁️System Observability
"Dear ImGui" Becomes "Dear User, " with LLMs
blog.igerman.cc·2d·
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📺Vintage Apple
Network Breakthrough: GNN-Pomdp Enables Robust Policies in Dynamic Systems
quantumzeitgeist.com·1d·
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🩹Self-Healing Systems
Understanding Floating-Point Numbers
dennisforbes.ca·4d·
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🏹Effect Systems
Hnfm: Building a local-first AI podcast generator for Hacker News
briancaffey.github.io·6d·
Discuss: Hacker News
🐳Containerization
Report on Burnout in Open Source Software
mirandaheath.website·5d·
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🩹Self-Healing Systems
Larry Wall – Present Continuous, Future Perfect (2006)
perl.org.il·4d·
Discuss: Hacker News
📚Automata Learning
Ask HN: Reddit banned my account with no explanation, why?
news.ycombinator.com·6h·
Discuss: Hacker News
🛡️seL4
Jaguar Land Rover supply chain workers must get Covid-style support, says union
theregister.com·1d·
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🩹Self-Healing Systems
Show HN
github.com·3d·
Discuss: Hacker News, Hacker News
🧩Parser Combinators
HomePod 26 adds three new features to Apple’s smart speakers
9to5mac.com·22h
🍎Apple
Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation
arxiv.org·1d
🧩Parser Combinators
Emulating Public Opinion: A Proof-of-Concept of AI-Generated Synthetic Survey Responses for the Chilean Case
arxiv.org·1d
📚Automata Learning
AMD's RDNA4 GPU Architecture at Hot Chips 2025
chipsandcheese.com·2d·
Discuss: Hacker News, r/hardware
🔧Unikernel Development
A Review of Nina Panickssery’s Review of Scott Alexander’s Review of “If Anyone Builds It, Everyone Dies”
lesswrong.com·21h
🛡️seL4
Hackaday Links: September 14, 2025
hackaday.com·1d
💾Retro Computing
A Co-Training Semi-Supervised Framework Using Faster R-CNN and YOLO Networks for Object Detection in Densely Packed Retail Images
arxiv.org·1d
💻CS