Tired of keeping your computer on just to keep n8n running? This week’s tutorial shows you how to deploy n8n on a cloud VPS for just $1–$5/month—so your automations run 24/7, with zero downtime. 🔧 We’ll walk through the full setup using Contabo, but this method also works with: - DigitalOcean - Vultr - Google Cloud - AWS - OVH and more 💡 Perfect for anyone who wants: - A low-cost, always-on automation setup - To move from local to cloud hosting - One-command deployment using Docker 📦 Resources (source code) included: 👉 Zero2launch Github: https://github.com/zero2launch/n8n_vps/ #n8n #VPSHosting #Automation #CloudSetup #Zero2Launch

Hey builders! 👋 I just dropped a brand-new tutorial that shows you exactly how to build a production-ready AI chatbot that can answer questions based on your own documentation — and run it live on any website. 🧠💬 This bot doesn’t just talk — it understands your documentation, finds the right info, and responds like a human. 🎯 In this step-by-step video, you’ll learn how to: ✅ Convert your docs into searchable vectors using OpenAI embeddings ✅ Store them in Pinecone and retrieve results with semantic search ✅ Search and retrieve relevant answers in real time (RAG) ✅ Use n8n to automate the whole flow ✅ And embed your chatbot directly into your website — fully live, fully yours ✅ Test everything in real time, from privacy policy Qs to billing help 💡 Perfect if you’re building: - Internal knowledge bots - Support agents - AI-powered FAQs - Or just want to understand RAG tech in a hands-on, no-code way Let me know what you think, what you build — or ask me anything below! 👇 This one’s packed with real-world use cases and deployable code. #Zero2Launch #RAGchatbot #AIautomation #n8n #Pinecone #OpenAI #NoCodeAI #SelfHostedTools #AIAssistant

Ever wanted to generate high-quality videos from images — completely offline, using your own PC? 🔥 In this new tutorial, I’ll show you how to run FramePack locally with just 6GB of GPU VRAM (yes, even a GTX 1060 works!) — and generate stunning videos for free and unlimited. We’ll cover: ✅ How to install and run FramePack locally ✅ Full walkthrough on setting up your environment ✅ Tips to speed things up on low-end GPUs This is the same quality you’d expect from platforms like King AI or Runway — but now, you own the stack. No limits. No pay-per-generation. All free. 👉 Github Link: https://github.com/lllyasviel/FramePack

Hey Zero2Launch crew 👋 If you’ve ever wanted to run AI chat models inside n8n without paying for OpenAI or burning through tokens, this one’s for you. In this new step-by-step video, I’ll show you how to host LLMs locally using LM Studio, and connect them directly to n8n using open-source models like DeepSeek or Llama. 💡 What you’ll learn: 🤖 Install and run local LLMs with LM Studio 📥 Download DeepSeek or LLaMA models — totally free 🔌 Connect n8n’s Chat Model node to your local LLM 🧪 Test everything with live prompts — OpenAI-free That means: ✅ No API keys ✅ No cloud costs ✅ And 100% offline, full control over your AI workflows 👇 Got questions or want to share your setup? Drop it in the comments!

Hey Zero2Launch crew. Just dropped a brand-new video showing how to combine n8n + MCP Firecrawl to build a powerful text-to-results web scraping workflow — no code needed. With just a simple prompt like “Get trending products” or “Find today’s tech news,” you can automatically scrape any site and feed the data into your automations. 🤯 🔍 Here’s what you’ll learn: 🧠 How to set up n8n + Firecrawl MCP 💬 How to turn plain text prompts into real scraping jobs 🌐 Scrape any website — from product listings to the latest news 💡 Real-world use cases that show just how easy and powerful this setup is It's literally Text In → Results Out. No coding, no scraping headaches. 👇 Let me know what ideas this sparks — or drop your own use cases in the comments!