*** For those who don't want to go through a "complicated" setup, use a terminal, or worry about any config files... or buy a Mac mini. 🤑 ... but want to jump on a bandwagon and try OpenClaw 🦀 for themselves. Here’s what you can do: - Go to the OpenClaw Lightning environment - Click on “Clone” - Your instance opens up in your IDE of choice From there, you can connect it to WhatsApp or Telegram and control your assistant from your mobile. This turns hours of installation and configuration into just minutes. Why is this important?! This keeps everything in a secure sandbox environment, off your local machine. Clawdbot is fun and powerful, but you should NEVER give it access to your main machine.

In this video, I'm sharing five simple hacks you can use in Claude Code to build and design better websites. These aren't complicated tricks that require years of coding experience. They're practical techniques that anyone can start using right away, even if you've never touched Claude Code before. I'll walk you through each hack step by step so you can see exactly how they work in real time. By the end of this video, you'll have built your own branded, professional website from scratch without writing a single line of code manually. If you've been wanting to create a website but felt intimidated by the technical side, this is the video for you. Frontend Design Skills: https://x.com/trq212/status/1989061937590837678?s=20

In this tutorial, I show you how to turn any website into LLM-ready data in seconds using Firecrawl and Claude Code. We cover everything from scraping content and extracting branding information to mapping entire sites and pulling structured data. I walk through setting up the Firecrawl MCP server in Claude Code, then demonstrate real use cases including scraping 200 job listings from a remote job board and extracting branding details from landing pages. The best part is you don't need to think about configuration or which API endpoints to use. Just tell Claude Code what you want and it figures out the rest. FIRECRAWL DISCOUNT

Paper Banana: AI Multi-Agent System for Publication-Quality Diagrams. Unlike single-model approaches, Paper Banana uses 5 specialized AI agents working together to create, critique, and refine technical diagrams with stunning accuracy. How It Works: PaperBanana implements a two-phase multi-agent pipeline with 5 specialized agents: - Phase 1 -- Linear Planning: - Retriever selects the most relevant reference examples from a curated set of 13 methodology diagrams spanning agent/reasoning, vision/perception, generative/learning, and science/applications domains -Planner generates a detailed textual description of the target diagram via in-context learning from the retrieved examples -Stylist refines the description for visual aesthetics using NeurIPS-style guidelines (color palette, layout, typography) - Phase 2 -- Iterative Refinement (3 rounds): Visualizer renders the description into an image (Gemini 3 Pro for diagrams, Matplotlib code for plots) Critic evaluates the generated image against the source context and provides a revised description addressing any issues - Steps 4-5 repeat for up to 3 iterations Open source ❤️ implementation and extension of Google Research’s PaperBanana ***Official code coming soon...

Agentic worklows are the next big thing... but they're also misunderstood. So this is EXACTLY how I’d teach a 10-year-old to build Agentic workflows using Claude Code, step by step. Simple breakdown, real examples, of how you can start building Agentic workflows yourself. Hope you guys enjoy! FIRECRAWL DISCOUNT