OneMix is a comprehensive Remix boilerplate designed to help developers and entrepreneurs launch SaaS products quickly. It includes everything you need to get started:
Complete authentication system ready out of the box
Subscription-based payment integration with Stripe
Database schema already configured with Supabase and Prisma
Email system set up with Resend
Landing page components for marketing your product
SEO optimization built-in for better discoverability
UI components for rapid development
Stop wasting 20-50 hours on setup and focus on your unique business logic instead. This boilerplate was created by Aditya Kumar Saroj, a software engineer and indie hacker who sold his first project (IconMage) in 2024.
10 customizable AI demo apps to build your AI startup in hours
JavaScript
TypeScript
DaisyUI
shadcn/ui
Tailwind CSS
PostgreSQL
Supabase
Lemon Squeezy
Stripe
Next.js
React
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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.
Remix
What Remix-specific architecture patterns are implemented?
Remix boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Remix's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Remix's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
Vite
What Vite-specific architecture patterns are implemented?
Vite boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement Vite's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows Vite's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
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.
Prisma
What Prisma-specific features are leveraged in these boilerplates?
Prisma 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 Prisma's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
Supabase
What Supabase-specific features are leveraged in these boilerplates?
Supabase 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 Supabase'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.
Remix
How does Remix's ORM/database layer work in these boilerplates?
Remix 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 Remix's specific features like eager loading, query scopes, and transaction handling for performance.
Vite
How does Vite's ORM/database layer work in these boilerplates?
Vite 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 Vite's specific features like eager loading, query scopes, and transaction handling for performance.
Tailwind CSS
How is state management handled in Tailwind CSS boilerplates?
Tailwind CSS 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 Tailwind CSS'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.
