Select only the functionality you need for your app
Choose between Firebase or Supabase as your foundation
Access powerful features through specialized kits
Key Features
DatabaseKit: Easy database setup and operations
AuthKit: Complete sign-in flow implementation
BackendKit: Backend infrastructure setup
PaymentsKit: In-app purchases integration
AIKit: AI integration capabilities
NotifKit: Push notification implementation
AnalyticsKit: User behavior tracking
AdsKit: Monetization through ads
BrandUIKit: Consistent app styling
SwiftyLaunch is trusted by 2500+ iOS developers globally and dramatically speeds up the app development process, allowing you to launch your app in days instead of weeks.
The SwiftUI boilerplate that empowers serious iOS developers to transform side projects into profitable apps in record time
Swift
SwiftUI
In-App Purchases
SwiftUI
Vapor
Features:
AI
Analytics
Auth
Backend
CI/CD
Dark Mode
Deployment
+6 more
Frequently Asked Questions
Swift
What makes Swift ideal for SaaS development?
Swift excels in SaaS development due to its robust ecosystem, strong typing capabilities, and excellent library support. Swift boilerplates leverage language-specific features to provide type-safe database queries, efficient API routing, and optimized runtime performance. The language's maturity means you get battle-tested packages for authentication, payment processing, and background jobs that integrate seamlessly.
Firebase
What Firebase-specific architecture patterns are implemented?
Firebase boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Firebase's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Firebase's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
PostHog
What PostHog-specific architecture patterns are implemented?
PostHog boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement PostHog's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows PostHog's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
SwiftUI
What SwiftUI-specific architecture patterns are implemented?
SwiftUI boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement SwiftUI's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows SwiftUI's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
SwiftUI
What SwiftUI-specific component architecture is used?
SwiftUI boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement SwiftUI's best practices for component structure, props handling, event management, and lifecycle methods. The component library includes authentication flows, dashboards, data tables, forms with validation, and navigation—all built with SwiftUI's native features like hooks (React), composition API (Vue), or directives (Angular).
Firestore
What Firestore-specific features are leveraged in these boilerplates?
Firestore 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 Firestore's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
Supabase
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.
In-App Purchases
What In-App Purchases API features are implemented?
In-App Purchases boilerplates implement the provider's complete API suite including checkout sessions, subscription lifecycle management, customer portal, webhook event handling, and invoice generation. They use In-App Purchases's latest API version with proper error handling, idempotency keys, and retry logic. The integration includes In-App Purchases-specific features like payment intents, setup intents, subscription schedules, and tax calculation APIs.
Swift
What Swift-specific tools and libraries are included?
Swift boilerplates include the language's most popular and production-proven tools. This typically includes testing frameworks, linters, formatters, build tools, and package managers specific to Swift. You'll get pre-configured toolchains that enforce best practices, automated testing pipelines, and development environments optimized for Swift development workflows.
Firebase
How does Firebase's ORM/database layer work in these boilerplates?
Firebase boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages Firebase's specific features like eager loading, query scopes, and transaction handling for performance.
PostHog
How does PostHog's ORM/database layer work in these boilerplates?
PostHog boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages PostHog's specific features like eager loading, query scopes, and transaction handling for performance.
SwiftUI
How does SwiftUI's ORM/database layer work in these boilerplates?
SwiftUI boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages SwiftUI's specific features like eager loading, query scopes, and transaction handling for performance.
SwiftUI
How is state management handled in SwiftUI boilerplates?
SwiftUI boilerplates use the framework's recommended state management approach—whether that's React Context + hooks, Redux Toolkit, Zustand, Pinia (Vue), NgRx (Angular), or Svelte stores. They include pre-configured state slices for authentication, user data, subscriptions, and UI state with proper TypeScript typing. The implementation follows SwiftUI's patterns for global state, local component state, and server state synchronization.
Firestore
How is the Firestore schema designed for SaaS applications?
Firestore boilerplates include production-tested schemas for multi-tenancy, user management, subscriptions, and billing. The design follows Firestore'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 Firestore's query engine.
Supabase
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.
