Vigyata.AI
Is this your channel?

Non Tech Guide to Build Full Stack App Using Lovable + Supabase | by a coder

228 views· 17 likes· 11:31· Feb 23, 2026

🛍️ Products Mentioned (3)

In this video i will tell you a non tech way to create a full stack application using lovable + supabase 👋 Welcome to Decoding Digital Code the Future. Build with AI. 🌐Become Awsome Instagram: https://www.instagram.com/digitaldecoding Website: https://www.dailyai.co.in/ Join Telegram : https://t.me/+S82ElWT5nylkMWFl TRY LOVABLE : https://lovable.dev/invite/11UGYP0 TRY NOTEGPT : https://notegpt.io?fpr=deepak11 🚀 On this channel, you’ll learn about: AI tools & automation,Enterprise Softwares,Software Engineering Coding tutorials (Python,react,node,angular, JavaScript & more) Building & selling websites Productivity & tech hacks 📧 Business Inquiries: meettechtalker@gmail.com 👉 Don’t forget to Like, Comment & Subscribe for more! #lovable #ai #microsaas

About This Video

In this video I show a non-tech way to ship a real full‑stack app using Lovable for the frontend and Supabase as the backend. The key idea is simple: once your data is stored in a database with an auth layer in between, your app becomes “full application” level—data is persistent, users can log in/out securely, and you can actually manage everything like a proper SaaS. I demo my app “Pocket Plan” with login/logout, wallet, expenses, and transactions—and yes, I didn’t write a single line of code manually. My workflow is: I start with a basic idea, use DeepSeek to turn it into a stronger, clearer prompt, then paste that prompt into Lovable (Bolt also works). After Lovable generates the UI, I connect Supabase using the green Supabase icon, create a Supabase project (free tier gives you two), and let Lovable generate the SQL for tables + policies. You approve it, Supabase creates the tables, and you can verify everything in Table Editor or with SQL queries (like filtering expenses by user_id). I also touch on auth options (email/password or Google OAuth), RLS/security, and I mention how you can later clone to GitHub and run locally when Lovable credits run out.

Frequently Asked Questions

🎬 More from Decoding Digital