OrangeBot.AI Digest — 2025-01-24
25 headlines across 8 sources, aggregated for this day.
Hacker News(15)
- A phishing attack involving g.co, Google's URL shortener (gist.github.com)
- PhysicsForums and the Dead Internet Theory (hallofdreams.org)
- Subpixel Snake [video] (www.youtube.com)
- A WebAssembly compiler that fits in a tweet (wasmgroundup.com)
- Snowdrop OS – a homebrew operating system from scratch, in assembly language (sebastianmihai.com)
- Wild – A fast linker for Linux (github.com)
- Little Snitch feature nobody knows about (lapcatsoftware.com)
- Show HN: Cs16.css – CSS library based on Counter Strike 1.6 UI (cs16.samke.me)
- New Book-Sorting Algorithm Almost Reaches Perfection (www.quantamagazine.org)
- Lightpanda: Headless browser designed for AI and automation (github.com)
- How I Use Home Assistant in 2025 (vpetersson.com)
- Every System is a Log: Avoiding coordination in distributed applications (restate.dev)
- Build It Yourself (lucumr.pocoo.org)
- Ask HN: Why buy domains and 301 redirect them to me?
- Tilde, My LLVM Alternative (yasserarg.com)
GitHub Trending(10)
- shadps4-emu / shadPS4
PlayStation 4 emulator for Windows, Linux and macOS written in C++
- web-infra-dev / midscene
AI-Driven Browser Automation with Chrome Extensions, JavaScript, and YAML Scripts.
- CorentinTh / it-tools
Collection of handy online tools for developers, with great UX.
- AmruthPillai / Reactive-Resume
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
- storybookjs / storybook
Storybook is the industry standard workshop for building, documenting, and testing UI components in isolation
- ml-explore / mlx-swift-examples
Examples using MLX Swift
- nextjs / saas-starter
Get started quickly with Next.js, Postgres, Stripe, and shadcn/ui.
- mendableai / firecrawl
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
- infiniflow / ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
- patchy631 / ai-engineering-hub