$200
ApparenceKit
A Flutter template to launch profitable mobile apps at lightning speed
Dart
Flutter
Firestore
Supabase
RevenueCat
Flutter
Riverpod
Features:
AI
Analytics
Auth
CI/CD
i18n
Landing Page
Monetization
+4 more
Supabase Boilerplates
Explore 31 boilerplates in this collection. Find the perfect starting point for your next project.
Other Database Integrations25
$149
PySaaS
Build a profitable SaaS business faster in pure Python
Python
Firestore
SQLite
Supabase
Lemon Squeezy
Next.js
Reflex
Features:
AI
Analytics
API
Auth
Blog
Deployment
Landing Page
+3 more
$279
Launchtoday
Production-ready mobile app starter kit for launching startups faster
JavaScript
Python
TypeScript
React
PostgreSQL
Supabase
RevenueCat
Stripe
Superwall
Expo
Firebase
React Native
Features:
AI
Analytics
Auth
AWS
CI/CD
Dark Mode
i18n
+3 more
$197
StartupBolt
The #1 NextJS Boilerplate for SaaS Startups
JavaScript
TypeScript
shadcn/ui
Tailwind CSS
Supabase
Lemon Squeezy
Stripe
Next.js
React
Features:
AI
Auth
Dark Mode
Docs
Marketing
Payments
Protected Routes
+3 more
$57
SupaLaunch
Create unlimited Next.js apps with Supabase backend using our boilerplate.
JavaScript
TypeScript
DaisyUI
Tailwind CSS
PostgreSQL
Supabase
Stripe
LangChain
Next.js
React
Features:
AI
Analytics
Auth
Blog
Emails
SEO
Storage
$169
NextStarter AI
The Next.js template to quickly create your SaaS, AI tool, or any web application
JavaScript
TypeScript
Tailwind CSS
Supabase
Lemon Squeezy
Stripe
Next.js
Features:
AI
Analytics
Animations
API
Auth
Blog
Emails
+7 more
$299
Makerkit
A SaaS Starter Kit for building production-ready React applications
JavaScript
TypeScript
Lucide Icons
Radix UI
shadcn/ui
Tailwind CSS
Firestore
Supabase
Lemon Squeezy
Stripe
Next.js
React
React Native
Remix
Features:
2FA
Admin
AI
Analytics
Auth
Blog
Dark Mode
+16 more
$169
NuxtStarterAI
The NuxtJS template with everything you need to build your SaaS, AI tool, or web app quickly
JavaScript
TypeScript
Tailwind CSS
Vue.js
Supabase
Lemon Squeezy
Stripe
Nuxt
Features:
AI
Analytics
Animations
Auth
Blog
Emails
Landing Page
+5 more
$229
AnotherWrapper
10 customizable AI demo apps to build your AI startup in hours
JavaScript
TypeScript
DaisyUI
shadcn/ui
Tailwind CSS
PostgreSQL
Supabase
Lemon Squeezy
Stripe
Next.js
React
Features:
AI
Analytics
Auth
Blog
ChatGPT
Emails
OpenAI
+1 more
Showing 9 of 31 boilerplates
Why Choose Supabase Boilerplates?
Supabase provides a powerful data storage solution with specific transaction models, indexing strategies, and query capabilities suited for SaaS applications. Our Supabase boilerplates implement database-native features—from ACID transactions to advanced indexing—with schemas optimized for Supabase's query engine and scaling characteristics.
Supabase boilerplates are designed around the database's data modeling approach and transaction semantics. They leverage Supabase-specific features like JSONB columns, full-text search, aggregation pipelines, or partition keys depending on the database type. The schema design follows Supabase's best practices for normalization (SQL) or document structure (NoSQL), with strategic indexes on query-heavy columns. Migration systems use Supabase-native tools for version-controlled schema evolution.
Key Benefits
- Supabase-native features (JSONB, aggregations)
- Supabase-optimized schema design
- Supabase indexing strategies
- Supabase transaction patterns
- Supabase-specific query optimization
- Supabase scaling architecture
- Supabase backup and replication
- Supabase migration tooling
Browse our collection of 31 Supabase boilerplates to find the perfect starting point for your next SaaS project. Each boilerplate has been carefully reviewed to ensure quality, security, and production-readiness.
Frequently Asked Questions
What Supabase-specific features are leveraged in these boilerplates?
Supabase boilerplates utilize the database's native capabilities including its transaction model (ACID for SQL, eventual consistency for NoSQL), indexing strategies (B-tree, GiST, full-text search), and advanced features like JSON columns, array types, window functions, or document queries. The schema design takes advantage of Supabase's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
How is the Supabase schema designed for SaaS applications?
Supabase boilerplates include production-tested schemas for multi-tenancy, user management, subscriptions, and billing. The design follows Supabase's best practices for data modeling—whether that's normalized tables with foreign keys (SQL), embedded documents vs. references (MongoDB), or partition key strategies (DynamoDB). Schemas include proper constraints, default values, and relationship management optimized for Supabase's query engine.
What Supabase query optimization techniques are implemented?
Supabase boilerplates implement database-specific query optimizations including strategic indexing on frequently queried columns, query plan analysis, proper use of Supabase's query features (prepared statements, query builders, aggregations), and N+1 query prevention. Connection pooling is configured for Supabase's optimal settings, and caching layers are positioned to reduce database load while maintaining data consistency.
How does Supabase scale in these boilerplates?
Supabase boilerplates are structured for horizontal and vertical scaling using the database's native scaling features. This includes read replicas, sharding strategies (if applicable), connection pool sizing, and query optimization for distributed systems. The architecture supports Supabase's scaling patterns—whether that's PostgreSQL's logical replication, MongoDB's sharding, or DynamoDB's automatic partitioning.
What Supabase backup and migration strategies are included?
Supabase boilerplates include migration systems using database-specific tools (Prisma migrations, Django migrations, Flyway, Liquibase, or native tools). They follow Supabase's best practices for zero-downtime deployments, backward-compatible schema changes, and data migrations. Backup strategies leverage Supabase's native backup features (pg_dump, mysqldump, mongodump) with automated scheduling and point-in-time recovery configurations.