Kickstart is a comprehensive boilerplate designed to help developers quickly build fullstack React applications without wasting time on setup and configuration.
It provides all the essential features a modern web application needs, from authentication to payment processing, all pre-configured and ready to use.
Key Benefits
Save development time with pre-built components and integrations
Follow industry best practices
Avoid technical debt with a well-structured codebase
Focus on building your unique product features
Get to market faster with minimal setup
Complete Stack
Frontend built with React, NextJS, TypeScript, and Chakra UI. Backend powered by Express and Firebase. Includes integrations for authentication, database, storage, payments, subscriptions, and more.
Build a fully featured SaaS app with Primate.js and Svelte
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SurrealDB
Stripe
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Next.js
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Primate.js
Svelte
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Frequently Asked Questions
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.
Express
What Express-specific architecture patterns are implemented?
Express boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Express's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Express's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
Next.js
What Next.js-specific architecture patterns are implemented?
Next.js boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Next.js's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Next.js's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
Chakra UI
What Chakra UI-specific component architecture is used?
Chakra UI boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement Chakra UI'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 Chakra UI's native features like hooks (React), composition API (Vue), or directives (Angular).
React
What React-specific component architecture is used?
React boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement React'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 React'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.
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.
Express
How does Express's ORM/database layer work in these boilerplates?
Express 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 Express's specific features like eager loading, query scopes, and transaction handling for performance.
Next.js
How does Next.js's ORM/database layer work in these boilerplates?
Next.js 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 Next.js's specific features like eager loading, query scopes, and transaction handling for performance.
Chakra UI
How is state management handled in Chakra UI boilerplates?
Chakra UI 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 Chakra UI's patterns for global state, local component state, and server state synchronization.
React
How is state management handled in React boilerplates?
React 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 React'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.
