Wireless, energy-autonomous remote monitoring of bolted joints
lbf.fraunhofer.de·10h·
Discuss: Hacker News
🔌Embedded Systems
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The Message in the Medium
asteriskmag.com·10h·
Discuss: Hacker News
📖Commonplace Books
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Prompt Injection in AI Browsers
schneier.com·1d
🛡️AI Security
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Show HN: Reversing a Cinema Camera's Peripherals Port
3nt3.de·1d·
Discuss: Hacker News, r/embedded
⌨️Mechanical Keyboards
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Good Code Is Like a Good Joke: It Needs No Explanation
codecurious.dev·4d·
Discuss: r/programming
🔬Static Analysis
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Once upon a time this blog was powered by make
refp.se·5d·
Discuss: Hacker News
🦀Rust Macros
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Show HN: Cracked – a TUI to download crackmes.one challenges easily
github.com·1d·
Discuss: Hacker News
🔓Binary Exploitation
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✨ Two New Tools Are Live on QuickZap
dev.to·18h·
Discuss: DEV
🏷️Memory Tagging
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Claude Code Web Warning - Commit & Push
reddit.com·4h·
Discuss: r/ClaudeAI
🎨Creative Coding
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Introduction: Why Choose React + Next.js + Tailwind for E-commerce
dev.to·4h·
Discuss: DEV
🌐Web Development
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Show HN: LeanSpec - Built in 10 days using the specs it defines
github.com·1d·
Discuss: Hacker News
📊Performance Tools
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Vibe CODE WARNING – from 1k to 10k lines, a personal casestudy
github.com·2d·
Discuss: Hacker News
🔍eBPF
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From Repetitive Code to Clean Architecture: How the Decorator Pattern Simplified Activity Logging by 70%
dev.to·5d·
Discuss: DEV
🛡️Error Handling
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.to·1d·
Discuss: DEV
☸️Kubernetes
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.to·1d·
Discuss: DEV
☸️Kubernetes
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🗑️ Django Learning Journey – Day 8
dev.to·1d·
Discuss: DEV
🦀rust
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MongoDB Query Optimization: How I Reduced Response Time from 2 Seconds to 200ms
dev.to·7h·
Discuss: DEV
🔍Query Optimization
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·3h·
Discuss: DEV
🎭Program Synthesis
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Build a Job-Ready Resume in Minutes: How Mectora’s AI Resume Builder Beats Canva & Indeed
dev.to·3h·
Discuss: DEV
🎨Design Systems
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MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech
arxiv.org·1d
🤖Transformers
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