The Swift Development Toolkit for Fast App Launches
ShipAppFast is a comprehensive Swift boilerplate created by an ex-Apple Engineer that helps developers build and monetize iOS apps rapidly. It includes essential modules for all the common functionality you need to get your app to market:
Authentication with Apple, Google, and Facebook login integration
Payment processing with RevenueCat and Apple StoreKit 2
Analytics tracking with Firebase and Google Analytics
Optimized paywall design and implementation
User onboarding flows
ChatGPT API integration with retry logic
A/B testing and experimentation
Game development with SpriteKit and GameKit (for game apps)
Logging and analytics events
The toolkit aims to save developers 20+ hours of boilerplate code and setup time, allowing them to focus on their app's core functionality instead of repetitive integration work.
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.
GameKit
What GameKit-specific architecture patterns are implemented?
GameKit boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement GameKit's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows GameKit's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
SpriteKit
What SpriteKit-specific architecture patterns are implemented?
SpriteKit boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement SpriteKit's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows SpriteKit'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.
RevenueCat
What RevenueCat API features are implemented?
RevenueCat boilerplates implement the provider's complete API suite including checkout sessions, subscription lifecycle management, customer portal, webhook event handling, and invoice generation. They use RevenueCat's latest API version with proper error handling, idempotency keys, and retry logic. The integration includes RevenueCat-specific features like payment intents, setup intents, subscription schedules, and tax calculation APIs.
StoreKit 2
What StoreKit 2 API features are implemented?
StoreKit 2 boilerplates implement the provider's complete API suite including checkout sessions, subscription lifecycle management, customer portal, webhook event handling, and invoice generation. They use StoreKit 2's latest API version with proper error handling, idempotency keys, and retry logic. The integration includes StoreKit 2-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.
GameKit
How does GameKit's ORM/database layer work in these boilerplates?
GameKit 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 GameKit's specific features like eager loading, query scopes, and transaction handling for performance.
SpriteKit
How does SpriteKit's ORM/database layer work in these boilerplates?
SpriteKit 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 SpriteKit'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.
RevenueCat
How are RevenueCat webhooks handled securely?
RevenueCat webhooks are verified using the provider's signature validation to prevent spoofing attacks. The boilerplate includes webhook endpoints with proper RevenueCat signature verification, event type filtering, and idempotent event processing to handle duplicate deliveries. Events are processed asynchronously with retry logic, and the implementation handles RevenueCat's specific webhook events like subscription updates, payment failures, and customer changes.
