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How to build Event registration system with Lovable?

Step-by-step guide to build an event registration system with Lovable. Learn setup, forms, payments, attendee management and deployment tips

Matt Graham, CEO of Rapid Developers

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How to build Event registration system with Lovable?

 

What we’re building / changing

 

We’ll add a simple Event Registration system: an events page that lists events and a registration form that saves signups to Supabase. All work uses Lovable Chat Mode edits, Preview, Secrets UI, and Publish — no terminal inside Lovable.

 

Lovable-native approach

 

  • Use Chat Mode to create/modify files (React pages/components and a small supabase client).
  • Store credentials with Lovable Cloud Secrets UI (SUPABASE_URL, SUPABASE_ANON\_KEY).
  • Use Supabase web UI (no CLI) to create tables: events and registrations.
  • Preview in Lovable to test UI; Publish

 

Meta-prompts to paste into Lovable

 

Prompt 1 — Setup Supabase (outside Lovable UI but via Supabase dashboard)

Goal: Create schema for events and registrations.

Exact steps to do in Supabase dashboard:

  • Create table events with columns: id (uuid PK, default uuid_generate_v4), title (text), date (timestamp), description (text).
  • Create table registrations with columns: id (uuid PK), event_id (uuid FK -> events.id), name (text), email (text), created_at (timestamp default now()).

Acceptance criteria: Tables exist in Supabase and you can insert a row via Supabase Table Editor.

Prompt 2 — Add Secrets in Lovable

Goal: Save Supabase credentials.

Exact actions in Lovable Cloud Secrets UI:

  • Create secret SUPABASE_URL = your Supabase project URL.
  • Create secret SUPABASE_ANON_KEY = your anon/public key.

Acceptance criteria: Secrets present in Lovable Secrets list.

Prompt 3 — Add frontend code in Lovable Chat Mode

Goal: Add UI + Supabase client to call the DB.

Files to create/modify (ask Lovable to apply these edits):

  • Create src/lib/supabase.ts with content:
    // initialize supabase client
    import { createClient } from '@supabase/supabase-js'
    const url = process.env.SUPABASE_URL
    const key = process.env.SUPABASE_ANON_KEY
    export const supabase = createClient(url!, key!)

  • Update package.json to include dependency '@supabase/supabase-js'

  • Create src/pages/events.tsx with content:
    // fetch events and render list + registration form
    import React, {useEffect, useState} from 'react'
    import { supabase } from '../lib/supabase'
    export default function EventsPage(){ /_ implement fetch events and register flow _/ }

Acceptance criteria: In Preview, events list shows data from Supabase and submitting the form adds a registration row (visible in Supabase Table Editor).

 

How to verify in Lovable Preview

 

  • Open Preview and navigate to /events. You should see events pulled from Supabase.
  • Submit the registration form; verify a success message and check Supabase Table Editor that a new registrations row exists.

 

How to Publish / re-publish (if applicable)

 

  • Publish from Lovable when UI is correct. Lovable will build with the declared dependency and use Secrets at runtime.
  • If you need server-side migrations or functions, export to GitHub and run migrations outside Lovable (terminal required). Label those steps as outside Lovable.

 

Common pitfalls in Lovable (and how to avoid them)

 

  • Missing Secrets: Preview will fail to fetch. Add SUPABASE_URL and SUPABASE_ANON\_KEY in Secrets UI.
  • DB schema not created: Use Supabase dashboard to create tables — don’t expect Lovable to create DB for you.
  • Assuming server code runs locally: Use supabase-js from the frontend or edge functions via Supabase — Lovable has no terminal for backend setup.

 

Validity bar

 

  • This plan uses only Lovable-native features: Chat Mode file edits, Secrets UI, Preview, Publish, and GitHub export for anything requiring a terminal. No invented Lovable features are used.

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How to add capacity-aware event registration with transactional waitlist promotion

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

How to add admin attendee advanced search (Postgres full-text + RPC)

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

How to add a reliable webhook queue to event registrations

This prompt helps an AI assistant understand your setup and guide to build the feature

AI AI Prompt

Want to explore opportunities to work with us?

Connect with our team to unlock the full potential of no-code solutions with a no-commitment consultation!

Book a Free Consultation
Matt Graham, CEO of Rapid Developers

Book a call with an Expert

Starting a new venture? Need to upgrade your web app? RapidDev builds application with your growth in mind.

Book a free No-Code consultation

Best Practices for Building a Event registration system with AI Code Generators

The short answer: design a minimal, testable data model (events, users, registrations), enforce rules in the database (unique constraints, FK, capacity checks), wire auth and third‑party services via Lovable Secrets (no CLI), use AI code generators to produce small, reviewable units (API handlers, SQL, UI components), and deploy from Lovable using Preview → Publish or GitHub sync. Always verify generated code with types, unit tests, and manual review before publish; run DB schema changes via your database UI (e.g., Supabase SQL editor) because Lovable has no terminal.

 

Plan the data and surface rules first

 

Keep the domain simple: events, users, registrations. Model constraints that must be true regardless of your app code (e.g., unique registration per user/event, capacity) inside Postgres so generated frontend/backend cannot accidentally break rules.

  • Schema belongs in Postgres — create via Supabase SQL editor (because Lovable has no terminal to run migrations).
  • Validate inputs in API and double-check with DB constraints.

 

CREATE TABLE users (
  id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
  email text UNIQUE NOT NULL,
  name text
);
CREATE TABLE events (
  id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
  title text NOT NULL,
  start timestamptz NOT NULL,
  capacity int DEFAULT 0
);
CREATE TABLE registrations (
  id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
  event_id uuid REFERENCES events(id) ON DELETE CASCADE,
  user_id uuid REFERENCES users(id) ON DELETE CASCADE,
  created_at timestamptz DEFAULT now(),
  status text DEFAULT 'confirmed',
  UNIQUE (event_id, user_id)
);

 

Auth, payments, and capacity handling

 

  • Auth: Use Supabase Auth (or another provider). Keep tokens in Lovable Secrets UI and never commit them to code.
  • Capacity checks: Use a single SQL transaction to check count and insert to avoid race conditions.
  • Payments: Keep payment webhook secrets in Secrets UI and verify webhooks server-side.

 

// Node/Express-style handler using 'pg' and DATABASE_URL from Lovable Secrets
import { Pool } from 'pg';
const pool = new Pool({ connectionString: process.env.DATABASE_URL });

export default async function register(req, res) {
  // expect { userId, eventId } in body
  const { userId, eventId } = req.body;
  // start a transaction and enforce capacity and unique registration
  const client = await pool.connect();
  try {
    await client.query('BEGIN');
    const capRes = await client.query('SELECT capacity FROM events WHERE id=$1 FOR UPDATE', [eventId]);
    if (capRes.rowCount === 0) throw new Error('Event not found');
    const capacity = capRes.rows[0].capacity;
    const countRes = await client.query('SELECT COUNT(*)::int as c FROM registrations WHERE event_id=$1', [eventId]);
    if (countRes.rows[0].c >= capacity) throw new Error('Event full');
    await client.query('INSERT INTO registrations (event_id, user_id) VALUES ($1,$2)', [eventId, userId]);
    await client.query('COMMIT');
    res.status(201).json({ success: true });
  } catch (err) {
    await client.query('ROLLBACK');
    res.status(400).json({ error: err.message });
  } finally {
    client.release();
  }
}

 

How to work inside Lovable with AI generators

 

  • Break work into tiny prompts: ask the generator for one API endpoint, one SQL change, or one React component at a time.
  • Use Chat Mode edits and file diffs — iterate small patches, inspect diffs in Lovable Preview before Publish.
  • Secrets & env: set DATABASE_URL, SUPABASE_KEY, PAYMENT\_SECRET in Lovable Secrets UI; reference process.env in code.
  • Don’t trust generated auth/payment code blindly — review security flows and signature verification yourself.

 

Deploy, test, and sync

 

  • Preview feature in Lovable to test UI changes; test API locally by deploying to a preview environment if Lovable provides cloud preview.
  • Schema changes: apply in Supabase SQL editor and keep the SQL file in repo (exported via Lovable GitHub sync) so DB migrations are tracked.
  • GitHub sync: use when you need CI, deeper testing, or manual deploys; Lovable export creates a repo you can run CI on.

 

Common pitfalls and practical tips

 

  • Race conditions: always enforce capacity and uniqueness at DB level.
  • Missing secrets: tests pass locally but fail in Lovable if you forget to set Secrets UI values — set them early.
  • Over-trusting AI: generated SQL or security code needs type checks, lint, and test coverage before Publish.

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