How I Built a Wedding Planning Suite with Supabase in 3 Months Quick Answer: I built a full wedding planning platform in 90 days using Supabase as the backend (PostgreSQL database, real-time subscriptions, Row Level Security, and OAuth auth), Next.js 14 for the frontend, and a few carefully chosen npm packages for specific features like QR code scanning.
The key was leveraging Supabase's managed services to avoid building auth, websockets, and file storage from scratch.
Introduction Three months ago, I had an idea: what if couples could plan their entire wedding through one cohesive platform?
Not a static checklist app, but a living, breathing system where vendors, guests, budgets, and timelines all talked to each other in real time.
I'm a solo developer with a day job.
I didn't have a team of backend engineers to build authentication, real-time sync, or file storage infrastructure.
I needed a stack that would let me ship fast without shipping broken.
Enter Supabase.
I'd heard the "Firebase alternative" pitch before, but what I discovered was something far more powerful for developers who actually want to own their data and their SQL.
This is the story of how I built WedPlanner—a full wedding planning suite—with Supabase, Next.js, and a few other tools.
No VC funding.
No offshore team.
Just me, a tight deadline, and a PostgreSQL database that never let me down.
Why Supabase?
The Architecture Decision That Made Everything Possible When you're building alone, every architectural decision compounds.
Pick the wrong database, and you'll spend weeks fighting migrations.
Pick the wrong auth solution, and you'll ship with security holes you don't even know about.
I evaluated Firebase, PlanetScale, Clerk, and rolling my own PostgreSQL on RDS.
Here's why Supabase won: PostgreSQL, not a proprietary document store.
Wedding data is relational.
A guest belongs to a wedding.
A vendor has multiple bookings.
A budget category has many line items.
Trying to model this in Firestore's document model felt like forcing a square peg into a round hole.
Supabase gave me the database I actually wanted—PostgreSQL 15—with a managed layer on top.
Built-in auth that doesn't fight you.
Supabase Auth supports OAuth (Google, Apple, etc.), email/password with confirmation flows, and Row Level Security (RLS) policies that live in your database.
This meant I could enforce "users can only see their own wedding data" at the database level, not just hoping my frontend checks were comprehensive enough.
Real-time subscriptions without WebSocket headaches.
One of WedPlanner's killer features is the shared planning dashboard.
When the bride updates the seating chart, the groom sees it instantly.
Supabase's real-time feature is built on PostgreSQL's LISTEN/NOTIFY mechanism, which means I didn't have to maintain a separate WebSocket server or worry about reconnection logic.
Storage that makes sense.
Wedding photos, vendor contracts, scanned receipts—I needed file storage with proper access controls.
Supabase Storage integrates with RLS, so I could write policies like "only the wedding owner can view contract PDFs." The total cost during development?
Zero.
Supabase's free tier handled everything until I had real users.
The Tech Stack Deep-Dive Database Design: Weddings Are More Relational Than You Think My initial schema seemed simple: users, weddings, guests, vendors.
Then reality hit.
A guest can have dietary restrictions.
A vendor might serve multiple weddings.
A budget line item might link to a specific vendor.
A task in the timeline might depend on another task being completed first.
Here's the core schema I landed on: I used Supabase's table editor for rapid prototyping, then migrated to managing schema through SQL migrations with the Supabase CLI.
This gave me version control for my database structure—critical when you're iterating quickly and need to roll back.
One pattern that saved me: I created a table as the central entity, then used foreign keys to link every