🌪️ Brotli

Google Compression, Static Dictionary, Web Performance, HTTP Compression

Microsoft Finally Added an Em Dash Shortcut
lifehacker.com·1d
🔠Terminal Fonts
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Shouldn't we trust Google and other pertinent questions
cryptography.dog·2d·
Discuss: Hacker News
📰RSS Archaeology
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Exceptions in Cranelift and Wasmtime
cfallin.org·16h·
Discuss: Lobsters, Hacker News, r/rust
🔒Linear Types
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Why We Migrated from Python to Node.js
blog.yakkomajuri.com·3d·
Discuss: Hacker News, r/node
🌊Stream Processing
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Gateway API Benchmark Part 2: New versions, new implementations, and new tests
reddit.com·1d·
Discuss: r/kubernetes
🌐Web Standards
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Why Nonparametric Models Deserve a Second Look
towardsdatascience.com·1d
🧠Machine Learning
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[D] Favorite Deep Learning Textbook for teaching undergrads?
reddit.com·1d·
Discuss: r/MachineLearning
🧠Machine Learning
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MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
arxiv.org·3d
🧠Learned Indexing
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How to Publish Your Python Package to PyPI (Modern Guide with `pyproject.toml`)
dev.to·1d·
Discuss: DEV
❄️Nixpkgs
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Duolingo: High Growth And Premium Margins, But AI May Pressure Sentiment, Limit Upside
seekingalpha.com·2d
🔍BitFunnel
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Tech With Tim: Learn Fast API With This ONE Project
dev.to·1d·
Discuss: DEV
🔌Archive APIs
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Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities
arxiv.org·2d
🧠Machine Learning
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·1d·
Discuss: DEV
⚡Proof Automation
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We Tested 6 AI Models on 3 Advanced Security Exploits: The Results
dev.to·22h·
Discuss: DEV
🔒WASM Capabilities
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·14h·
Discuss: DEV
🚀Indie Hacking
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Tech With Tim: 3 Unique Python Features You NEED To Know
dev.to·12h·
Discuss: DEV
🌀Brotli Internals
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Understanding Azure AI Studio for Beginners: Build, Train, and Deploy AI Models with Ease
dev.to·4h·
Discuss: DEV
🏠Homelab Orchestration
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D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
arxiv.org·1d
⚛️Quantum Compilers
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From Stack to Impact: What Actually Worked in My 3 AI Tool Sites
dev.to·3d·
Discuss: DEV
👁️Observatory Systems
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·3d
🌀Riemannian Computing
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