HubTemplate

Flutter boilerplate for building SaaS, MVPs, and AI applications quickly

Overview

Launch Your App in Days, Not Weeks

HubTemplate is the comprehensive Flutter boilerplate designed to accelerate your development process for SaaS, MVPs, AI applications, and more. Time is critical when launching a startup, and HubTemplate helps you bring your ideas to life quickly.

Key Features

  • Authentication System: Ready-to-use email and phone authentication
  • Subscription Management: Built-in subscription functionality
  • Push Notifications: Engage users with notifications
  • Firebase Integration: Firestore database and Cloud Storage ready to use
  • Theme Management: Customizable theme system
  • Responsive Design: Works across all device sizes
  • Support Center: Built-in customer support functionality
  • Payment Processing: Stripe payment integration
  • TypeScript Functions: Gen2 Cloud Functions for backend operations

Save 40+ hours of development time and launch your product faster to start generating revenue sooner.

Mostafa Yasser's profile picture

Mostafa Yasser

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Frequently Asked Questions

Dart

What makes Dart ideal for SaaS development?

Dart excels in SaaS development due to its robust ecosystem, strong typing capabilities, and excellent library support. Dart 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.

JavaScript

What makes JavaScript ideal for SaaS development?

JavaScript excels in SaaS development due to its robust ecosystem, strong typing capabilities, and excellent library support. JavaScript 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.

TypeScript

What makes TypeScript ideal for SaaS development?

TypeScript excels in SaaS development due to its robust ecosystem, strong typing capabilities, and excellent library support. TypeScript 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.

Flutter

What Flutter-specific architecture patterns are implemented?

Flutter boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Flutter's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Flutter's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.

Flutter

What Flutter-specific component architecture is used?

Flutter boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement Flutter'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 Flutter'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.

Stripe

What Stripe API features are implemented?

Stripe boilerplates implement the provider's complete API suite including checkout sessions, subscription lifecycle management, customer portal, webhook event handling, and invoice generation. They use Stripe's latest API version with proper error handling, idempotency keys, and retry logic. The integration includes Stripe-specific features like payment intents, setup intents, subscription schedules, and tax calculation APIs.

Dart

What Dart-specific tools and libraries are included?

Dart 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 Dart. You'll get pre-configured toolchains that enforce best practices, automated testing pipelines, and development environments optimized for Dart development workflows.

JavaScript

What JavaScript-specific tools and libraries are included?

JavaScript 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 JavaScript. You'll get pre-configured toolchains that enforce best practices, automated testing pipelines, and development environments optimized for JavaScript development workflows.

TypeScript

What TypeScript-specific tools and libraries are included?

TypeScript 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 TypeScript. You'll get pre-configured toolchains that enforce best practices, automated testing pipelines, and development environments optimized for TypeScript 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.

Flutter

How does Flutter's ORM/database layer work in these boilerplates?

Flutter 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 Flutter's specific features like eager loading, query scopes, and transaction handling for performance.

Flutter

How is state management handled in Flutter boilerplates?

Flutter 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 Flutter'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.