In this walkthrough, you'll learn how to link records between NocoDB tables using a raw HTTP request inside n8n. We’re working with a real many-to-many setup and covering: - How to understand source vs. target in link relationships - Where to find the actual linkFieldId (not the fake one) - How to build the right request payload (without trial-and-error hell) - What errors like “Primary key not found” really mean - How to test and confirm the link worked Tools used: - 🧱 NocoDB (self-hosted) - ⚙️ n8n (self-hosted) - 📡 HTTP Node (manual API call) Free n8n Workflow: https://aiwithapex.gumroad.com/l/nocodb_link_record_n8n p.s.: After I shared the video, a friend, Oliver, pointed out that you do NOT need to make a Formula column, rather just select on "Fields" and toggle "Show System Fields" -- Thanks Oliver for teaching me that!!! 💖🔥

n8n Workflow attached below and in our community classroom Here’s the workflow: Step 1: You submit job details through a simple form. Step 2: OpenAI extracts + infers key details into a structured JSON object (client info, project name, scope, deliverables, exclusions, timeline estimate, pricing, deposit amount, and more). Step 3: n8n duplicates your Google Docs template so the original stays untouched. Step 4: The automation replaces every {{variable}} in the doc with the mapped JSON values (reliable, repeatable, and fast). Step 5: You get a finished proposal you can quickly review, tweak, and send. This setup is perfect if you constantly create proposals/contracts and want AI to do the heavy lifting—scope drafting, estimates, payment schedule (like 50/50), and all the repetitive template filling. If you want, the next step is sending the completed doc to a signing tool (like PandaDoc) for signature + deposit collection—so your onboarding is basically push-button. Youtube video (So sorry about the quality, Loom has been giving me a headache lately): https://youtu.be/ACSgwveCeaw?si=tQlws28YDW_H_9W5

Hey everyone! I'm giving away a copy of "React Native Notes for Professionals" — completely free. It's attached below. No email required. No catch. Why React Native? It's one of the fastest ways to build real mobile apps for both iOS and Android using a single codebase. Whether you're breaking into mobile development for the first time or expanding your skillset — this is a great place to start. What's inside: → Setup guides for Mac, Windows & Linux → Props, State & Component patterns → Styling with Flexbox (with visual examples) → Navigation best practices → HTTP requests & API integration → Push notifications setup → Firebase authentication → How to create a shareable APK → Unit testing with Jest → And much more... Who this is for: ✅ You're curious about mobile app development ✅ You're new to React Native and want a solid reference ✅ You've been building apps but want to level up ✅ You learn best from real code examples What makes this book different: It's compiled from Stack Overflow documentation. That means it's written by developers who actually solved these problems — not theory, but real solutions. 80+ pages. 32 chapters. Zero fluff. Happy building! 🚀

Never write another YouTube title or description from scratch again! In this tutorial, I'm showing you the exact n8n workflow I use to automate my entire YouTube upload prep. Just paste your video transcript into a simple form — and AI generates 3 viral title options, a fully optimized description (with all your links included), AND a custom thumbnail. Everything gets delivered straight to your inbox. This workflow combines GPT-5.2 for copywriting and OpenAI's image generation for thumbnails, all connected through n8n. Whether you're a solo creator or running a content team, this will save you hours every single week. Video: https://youtu.be/HnnU85bPH14?si=6FG_qs0f51hTdpet Workflow (and in our community classroom): https://drive.google.com/drive/folders/1D817PhVvlTT1ttgvN53UvIh_wPE7EL6m?usp=sharing

Want a REAL production-ready n8n deployment? In this video we break down the n8n-aiwithapex infrastructure stack and why it’s a massive upgrade over a “basic docker-compose n8n” setup. You’ll see how this project implements a full queue-mode architecture with: - n8n-main (Editor/API) separated from execution - Redis as the queue broker - Multiple n8n workers for horizontal scaling - External task runners (isolated JS/Python execution) for safer Code node workloads - PostgreSQL persistence with tuning + initialization - ngrok for quick secure access in WSL2/local dev We’ll also cover the “Ops” side that most tutorials ignore: - Comprehensive backups (Postgres + Redis + n8n exports + env backups) - Offsite sync + optional GPG encryption - Health checks, monitoring, queue depth, and log management scripts - Restore + disaster recovery testing so you can recover fast - Dual deployment paths: WSL2 for local + Coolify for cloud/production If you’re building automations for clients, running n8n for a team, or scaling AI workflows, this architecture is the blueprint: separation of concerns, isolation, scaling, and recoverability. Youtube video: https://youtu.be/HzgrId0kgfw?si=0bzdvDgJW4dLApfi Repo: https://github.com/moshehbenavraham/n8n-aiwithapex