SASS: The CSS Preprocessor That Survived the Apocalypse
en.andros.dev·23h·
Discuss: Lobsters, Hacker News
🏛️Technical Architecture
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Show HN: I built a Spotify podcast transcript generator with summaries and chat
spotscribe.io·1h·
Discuss: Hacker News
🍎Apple
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Modal dialogs without React (or JavaScript)
laktek.com·13h·
Discuss: Hacker News
🍎Apple
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Snow and memory
leancrew.com·1d·
Discuss: Hacker News
🤖AI
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AI And Jesus In Late 2025: A Road Trip Report
robert.ocallahan.org·21h·
Discuss: Hacker News
🛡️AI Security
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Apple Messages app violates tracking number privacy
lapcatsoftware.com·13h·
Discuss: Hacker News
🍎Apple
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Lean4 Macros for Implementing Custom Quantifiers
jamesoswald.dev·1d·
Discuss: Hacker News
🏹Effect Systems
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AI Isn't Alchemy: Not Mystical, Just Messy
craftedlogiclab.com·1d·
Discuss: Hacker News
🛡️AI Security
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I am really in need for a controllable TTS.
reddit.com·2d·
Discuss: r/LocalLLaMA
🔬Tech & Science
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The Power Problem – A Silicon Valley Story
syntheticauth.ai·5d·
Discuss: Hacker News
🔬Tech & Science
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Synth: The New Data Frontier
pleias.fr·9h·
Discuss: Hacker News
🔧MLOps
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Show HN: Executable Recipes for Claude, Codex. Or Terraform for AI Flows
github.com·4d·
Discuss: Hacker News
🖥️Self-hosted apps
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OutcomeOps: The Operating Model for Engineers Who Own the Outcome
dev.to·1d·
Discuss: DEV
👥Engineering Management
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We’re In a New Everything-Is-Connected Epoch. But What to Call It?
nytimes.com·1d·
Discuss: Hacker News
📡Edge Computing
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Reasoning Up the Instruction Ladder for Controllable Language Models
arxiv.org·1d
🔧MLOps
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I Built a Task Manager for the AI Coding Era (and It's Just Markdown Files)
dev.to·4d·
Discuss: DEV
👨‍💻AI Coding
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DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
arxiv.org·10h
⚙️AI Infrastructure
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Textual Self-attention Network: Test-Time Preference Optimization through Textual Gradient-based Attention
arxiv.org·10h
⚙️AI Infrastructure
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An Empirical Study of Reasoning Steps in Thinking Code LLMs
arxiv.org·10h
🧠LLM Engineering
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CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models
arxiv.org·10h
🔧MLOps
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