Video Description

🔥 Join The AI Forge Community 👇 https://www.skool.com/the-ai-forge Free Workflow Here: https://leonardo467.gumroad.com/l/tzxqhd In this video, I give you an overview of how you can build your own web application fast and easily with minimal code by integrating n8n and Lovable. I walk through creating a backend API endpoint in n8n that connects to your database (like PostgreSQL) and serves data to a front-end dashboard built in Lovable. Specifically, I demonstrate building a dashboard to track competitor YouTube videos. I cover crucial techniques like implementing server-side pagination to efficiently load data as the user scrolls and adding Redis caching to significantly speed up response times by avoiding repeated database queries. I also show how you can leverage LLMs to help generate the necessary JavaScript code for parsing parameters and the SQL queries needed for filtering and fetching data, plus how to prompt Lovable effectively to build the user interface you want. While discussing scalability, I emphasize that this approach is excellent for building MVPs, internal tools, or lead magnets quickly to validate your ideas. Timestamps 00:00 - Intro: Building an App with n8n & Lovable 00:42 - Why Pagination Matters for User Experience 01:08 - Speeding Up Your App with Caching (Redis) 01:30 - Connecting Lovable (Frontend) to n8n (Backend) 04:39 - n8n Workflow Explained: Webhook, Parsing, Cache Check 05:55 - Code Node: Parsing Query Parameters & Cache Key 08:54 - Fetching Data from PostgreSQL with Filtering & Pagination 10:15 - Structuring the Response & Caching with Redis 11:55 - Prompting Lovable to Build the Frontend Interface 16:50 - Alternative Tool Mention: TubeLab ✨n8n Cloud (Affiliate Link—Using it supports me!): https://n8n.partnerlinks.io/c2uubbc6vgax The Recording Software I use (Canvid): https://aibuilders.short.gy/canvid 📱 X: https://x.com/leonardogrig 💼 LinkedIn: https://www.linkedin.com/in/leonardogrig