Volca is a SaaS boilerplate and starter kit that helps get your project up and running in days instead of months. It includes a monorepo with a static landing page, a React dashboard, and a Node.js REST API.
Key Components
Landing Page: High-performance static landing page designed to load quickly and improve SEO. Built with React and TypeScript.
Dashboard: Complete React dashboard where users can register, subscribe, and invite collaborators. Includes authentication, payments, and project management pages.
API: Decoupled REST API architecture running on serverless infrastructure that is cost-effective, secure, and performant. Built with Node.js, TypeScript, AWS, and Postgres.
Architecture
Volca uses a cloud-native approach hosted on AWS with infrastructure defined using AWS CDK. By default, GitHub Actions are configured to deploy to your environments when pushing code to your repository.
A collection of prebuilt Next.js Full-Stack Web Development features and components
JavaScript
TypeScript
shadcn/ui
Tailwind CSS
CockroachDB
MongoDB
MySQL
PostgreSQL
SQLite
Stripe
Next.js
React
Features:
Access Control
Admin
Announcements
Auth
Billing
Changelog
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.
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.
AWS CDK
What AWS CDK-specific architecture patterns are implemented?
AWS CDK boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement AWS CDK's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows AWS CDK's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
Node.js
What Node.js-specific architecture patterns are implemented?
Node.js boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Node.js's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Node.js's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
React
What React-specific architecture patterns are implemented?
React boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement React's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows React's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
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).
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.
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.
AWS CDK
How does AWS CDK's ORM/database layer work in these boilerplates?
AWS CDK 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 AWS CDK's specific features like eager loading, query scopes, and transaction handling for performance.
Node.js
How does Node.js's ORM/database layer work in these boilerplates?
Node.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 Node.js's specific features like eager loading, query scopes, and transaction handling for performance.
React
How does React's ORM/database layer work in these boilerplates?
React 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 React's specific features like eager loading, query scopes, and transaction handling for performance.
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.
PostgreSQL
How is the PostgreSQL schema designed for SaaS applications?
PostgreSQL boilerplates include production-tested schemas for multi-tenancy, user management, subscriptions, and billing. The design follows PostgreSQL'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 PostgreSQL's query engine.
