Hey guys! Has anyone tried self-hosting n8n on macOS? Would love to hear any tips or tricks you’ve picked up 👀

Remember when building an app meant you either needed to be a backend wizard or pay someone who was? Yeah, those days just ended. Lovable just dropped something that's going to change how we all build: Lovable Cloud and Lovable AI. What Just Happened? Until now, even with the best no-code tools, you'd hit a wall. Want user authentication? Set up a service. Need a database? Configure that. File storage? Another tool. AI features? Good luck managing those API keys. It was like having a Ferrari but needing to build the road yourself. Not anymore. Lovable Cloud: Your Backend, Zero Config Lovable Cloud is a fully integrated backend that lives inside your Lovable projects. No external dashboards. No configuration hell. Just tell Lovable what you want, and it builds it. Here's what you can build now (in one prompt): - Social apps with user profiles and real-time messaging - Community platforms with posts, comments, and moderation - Inventory systems with catalogs and stock tracking - Collaboration tools with file and media sharing - Learning platforms with courses and progress tracking The best part? It scales with you. Your app blows up overnight? Lovable Cloud grows with it. Authentication and security are baked in, so users only see what they're supposed to see. Pricing that makes sense: Free tier covers up to $25/month of usage (perfect for development and testing), then usage-based billing when you start getting real traction. Lovable AI: Because Every App Needs Superpowers We're all thinking about AI. How do we add it? Where does it fit? How much will it cost? Lovable AI just answered all those questions. Want to build an app that: - Generates custom avatars? - Summarizes customer conversations? - Creates personalized fitness plans? - Translates content in real-time? - Builds chatbots that actually help? Just ask for it. Lovable handles the rest. No API keys. No managing multiple services. No weird response formats to parse. It's powered by Google Gemini models and it just works.

What is GitHub Spark? GitHub Spark is an AI-powered tool that lets you create mini-applications (called "sparks") by simply describing what you want in plain English. No coding required to get started! Key Features: - Automatically generates both the visual interface and backend logic - Includes built-in design themes and web hosting - Stores your data persistently - AI-powered features built right in - Creates shareable web apps instantly How It's Different: Traditional app development starts with writing code. Spark flips this around—you start with your idea and the app appears: 1. Describe your app in plain language → See it running live immediately 2. Infrastructure handled automatically → No setup for storage, hosting, or deployment 3. Professional design included → Polished UI components ready to use (customizable too) 4. Choose your AI model → Works with Claude, GPT-4, DeepSeek, and others 5. Updates deploy automatically → Changes go live as you make them Why This Matters: Making App Creation Accessible Anyone can now build useful tools without technical knowledge: - Budget trackers tailored to your needs - Habit-tracking dashboards - Custom chatbots or content summarizers Lightning-Fast Prototyping Skip all the tedious setup work. Spark automatically provides: - Continuous deployment pipelines - Security updates via Dependabot - Full GitHub repository with complete history - Live preview that updates as you edit Everything runs on GitHub's Azure infrastructure—production-ready from the start. Flexibility When You Need It Start with natural language, then optionally dive into code using GitHub Codespaces and Copilot for advanced customization. You control how deep you go.

Anthropic just upgraded Claude Sonnet 4 with a massive 1 million token context window, a 5x increase from its previous 200K limit. This means Claude can now analyze entire codebases, full novels, or massive document sets in a single prompt. What Happened: Claude Sonnet 4 now supports up to 1 million tokens of context on the Anthropic API, a 5x increase. The expanded context window allows Claude to process and reason over much larger amounts of text in a single request, putting it on par with Google Gemini and OpenAI's million-token models. Users can now load entire codebases, including source files, tests, and documentation for comprehensive analysis. The feature is currently in public beta on the API. Why This Matters for Agencies: - Codebase Analysis: Upload entire client repositories for bug detection, refactoring, and documentation without splitting across multiple prompts. - Document Synthesis: Process massive PDFs, reports, or research in one go instead of chunking and summarizing. - New Service Opportunities: Offer comprehensive code audits or large-scale content analysis as premium services. - Workflow Efficiency: Price has substantially increased, so smart context management becomes crucial for profitability. Bottom Line: Claude's 1M token window opens doors to enterprise-level analysis tasks previously impossible. Start piloting with smaller clients to test cost effectiveness before scaling up.

OpenAI just introduced ChatGPT Pulse, a new feature that gives you daily personalized updates right inside ChatGPT. Pulse can pull insights from your chats and, if you choose, connect to Gmail and Calendar to suggest meeting prep, reminders, and more. It’s still in preview for Pro users on mobile, but it’s a big step toward making ChatGPT more proactive not just reactive. 👉 Check it out here: openai.com/introducing-chatgpt-pulse