Build your SaaS project in record time with HyperSaas. Whether you're a startup seeking to disrupt markets or a developer looking to enhance productivity, this boilerplate has everything needed to hit the ground running.
Modern Frontend
Next.js 14 with app router, React 18, TypeScript and Zod for type safety, with Tailwind CSS for responsive design. Server-side rendering improves SEO and delivers lightning-fast initial page loads.
Robust Backend
Built with Django 4 and Django REST Framework providing a powerful, scalable API that handles complex web applications. Uses Python 3.11 as the foundation.
Build a fully featured SaaS app with Primate.js and Svelte
Go
JavaScript
Python
Ruby
TypeScript
Angular
Handlebars
HTMX
Markdown
Marko
React
Solid
MongoDB
MySQL
PostgreSQL
SQLite
SurrealDB
Stripe
Analog
Next.js
Nuxt
Primate.js
Svelte
SvelteKit
Vue.js
Features:
API
Auth
Blog
CI/CD
Deployment
Docs
Emails
+7 more
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.
Python
What makes Python ideal for SaaS development?
Python excels in SaaS development due to its robust ecosystem, strong typing capabilities, and excellent library support. Python 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.
Django
What Django-specific architecture patterns are implemented?
Django boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Django's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Django's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
Django REST Framework
What Django REST Framework-specific architecture patterns are implemented?
Django REST Framework boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Django REST Framework's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Django REST Framework'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.
Radix UI
What Radix UI-specific component architecture is used?
Radix UI boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement Radix 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 Radix 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).
shadcn/ui
What shadcn/ui-specific component architecture is used?
shadcn/ui boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement shadcn/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 shadcn/ui's native features like hooks (React), composition API (Vue), or directives (Angular).
Tailwind CSS
What Tailwind CSS-specific component architecture is used?
Tailwind CSS boilerplates follow the framework's component composition patterns with reusable, atomic design components. They implement Tailwind CSS'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 Tailwind CSS's native features like hooks (React), composition API (Vue), or directives (Angular).
PostgreSQL
What PostgreSQL-specific features are leveraged in these boilerplates?
PostgreSQL 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 PostgreSQL's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
Redis
What Redis-specific features are leveraged in these boilerplates?
Redis 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 Redis'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.
Python
What Python-specific tools and libraries are included?
Python 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 Python. You'll get pre-configured toolchains that enforce best practices, automated testing pipelines, and development environments optimized for Python development workflows.
