ShipiOS is a comprehensive SwiftUI boilerplate designed to help developers ship iOS apps quickly. It includes essential features like authentication, onboarding flows, analytics integration, and AI services.
Created by a developer who went from learning SwiftUI to publishing an app with 5-star ratings in just 50 days, ShipiOS provides everything needed to turn app ideas into reality.
Key Components
Authentication with Firebase (Google and Apple Sign-in)
Customizable onboarding flows
Analytics integration with PostHog
AI service templates (OpenAI, Gemini, Claude)
Notification management
Animation support with Lottie
Haptic feedback implementation
Additional Benefits
Component library with native and custom iOS elements
Detailed guides for beginners
Private community access
Bonus rewards including 1-year access to Selftalk.ing
Accelerate your SwiftUI app development with integrated AI and secure backend solutions
Swift
SwiftUI
Supabase
RevenueCat
StoreKit 2
SwiftUI
Features:
AI
Analytics
API
Auth
ChatGPT
Dark Mode
Deployment
+7 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.
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.
Lemon Squeezy
What Lemon Squeezy API features are implemented?
Lemon Squeezy boilerplates implement the provider's complete API suite including checkout sessions, subscription lifecycle management, customer portal, webhook event handling, and invoice generation. They use Lemon Squeezy's latest API version with proper error handling, idempotency keys, and retry logic. The integration includes Lemon Squeezy-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.
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.
Lemon Squeezy
How are Lemon Squeezy webhooks handled securely?
Lemon Squeezy webhooks are verified using the provider's signature validation to prevent spoofing attacks. The boilerplate includes webhook endpoints with proper Lemon Squeezy signature verification, event type filtering, and idempotent event processing to handle duplicate deliveries. Events are processed asynchronously with retry logic, and the implementation handles Lemon Squeezy's specific webhook events like subscription updates, payment failures, and customer changes.
