Unlock the power of AI to vibe code your very own automated lead generation machine — an AI-powered RSS directory that runs passively online with zero coding knowledge or monthly fees!
You don't need another AI tutorial. You need a room full of people who are actually building!
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See the directory in action: https://vibebuilders.ai
In this step-by-step tutorial, you'll learn how to use AI agents inside Visual Studio Code with Roo Code (instead of paying for Cursor AI) plus FREE cloud services like Turso.tech and Netlify to create a smart, SEO-friendly AI-powered content aggregator for a web directory.
Whether you're a non-coder eager to leverage AI or an aspiring builder wanting more control over your projects, this video shows you precisely how to vibe code your own AI web directory from scratch using VS Code+Roo Code or Cursor AI.
What you’ll learn:
•. How to build a fully automated AI-driven RSS directory without coding
•. Best free and low-cost tools for AI API integration (Venice AI, OpenAI, Claude, Claude Code)
•. Creating a product requirements document to guide your project with AI assistance
•. Designing and implementing database schemas with Turso SQL
•. Writing and debugging RSS parser functions to aggregate and classify AI content
•. Building frontend UI components using Next.js 14, Tailwind CSS, and TypeScript
•. Deploying your AI-powered app on Netlify with scheduled serverless functions
•. Troubleshooting deployment errors and refining your AI app for SEO and lead gen
•. Future-proofing your skills in AI conversation-driven coding (vibe coding)
🔧 TOOLS USED IN THIS VIDEO:
Visual Studio Code (https://code.visualstudio.com)
Roo Code (https://roocode.com)
Venice AI (https://venice.ai/chat?ref=PA5RHk)
Netlify (https://netlify.com)
Turso (https://turso.tech)
⏱️ TIMESTAMPS:
00:00 – Intro: Build a Passive Lead Gen AI RSS Directory
01:34 – Demo: What Our AI-Powered RSS Directory Looks Like
03:20 – Tools & Services Requirements Overview
06:13 – Setting Up Your IDE & Project Folder (Why I Prefer Roo Code over Cursor AI)
12:03 – Creating the Product Requirements Document (PRD) with AI
16:18 – Bootstrapping the Next.js + Tailwind + TypeScript Project
23:19 – Designing Database Schema for RSS Feeds & AI Classifications
29:39 – Building a Robust RSS Parser Function with Retry Logic
31:53 – Integrating AI API for Content Classification
38:40 – Orchestrating Data Processing: Handling Duplicates & API Rate Limits
43:00 – Developing API Routes to Connect Backend & Frontend
52:38 – Preparing for Deployment: Setting Up Database Migration & Netlify
54:54 – Debugging Common Deployment Errors & Continuous Integration
01:02:19 – Final Deployment Success & Next Steps
01:07:31 – Running RSS Processing Scripts: Populating the Database
01:09:05 – Final Thoughts & Planning for Future Features
Follow my build-in-public journey: https://blog.jordanurbs.com
Say hi on X: https://x.com/jordanurbs
Sometimes I write on Substack: https://jordanurbs.substack.com/