Storage Boilerplates

Explore 10 boilerplates in this collection. Find the perfect starting point for your next project.

Visit website for AppKickOff

AppKickOff

Android App Starter-Code Generator that handles boilerplate code for rapid app development.

Java
Kotlin
Android UI
Firestore
In-App Purchases
Android

Features:

Analytics
API
Auth
Dark Mode
Navigation
Notifications
Onboarding
+2 more
Visit website for SupaLaunch

SupaLaunch

Create unlimited Next.js apps with Supabase backend using our boilerplate.

JavaScript
TypeScript
DaisyUI
Tailwind CSS
PostgreSQL
Supabase
Stripe
LangChain
Next.js
React

Features:

AI
Analytics
Auth
Blog
Emails
SEO
Storage
Visit website for Business Class

Business Class

A Ruby on Rails starter kit for startup ideas

Ruby
Tailwind CSS
Paddle
Stripe
Hotwire
Ruby on Rails

Features:

2FA
Admin
Auth
Blog
CI/CD
Deployment
SEO
+4 more
Visit website for BuilderKit

BuilderKit

Highly modular NextJS AI Boilerplate that allows you to ship an AI App super fast

JavaScript
TypeScript
shadcn/ui
Tailwind CSS
PostgreSQL
Supabase
Lemon Squeezy
Stripe
Next.js
React

Features:

Admin
AI
Auth
ChatGPT
Deployment
Docs
Emails
+7 more
Visit website for useSAASkit

useSAASkit

The Next.js boilerplate that gives you auth, multi-org, admin tools, billing, marketing pages, analytics, and AI — ready from day one.

JavaScript
TypeScript
Tailwind CSS
Supabase
Lemon Squeezy
Stripe
Next.js

Features:

Access Control
Admin
AI
Analytics
Auth
Blog
Docs
+7 more
Visit website for HubTemplate

HubTemplate

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

Dart
JavaScript
TypeScript
Flutter
Firestore
Stripe
Firebase
Flutter

Features:

AI
Auth
Notifications
Payments
Responsive
Serverless
Storage
+3 more
Visit website for Nuxflare Pro

Nuxflare Pro

The Complete Nuxt + Cloudflare Starter Kit

JavaScript
TypeScript
Nuxt
Drizzle ORM
Paddle
Stripe
Nuxt
Pulumi
SST.dev
tRPC

Features:

Access Control
AI
Analytics
Auth
Background Jobs
Billing
Caching
+11 more
Visit website for Lightning Rails

Lightning Rails

Ruby on Rails boilerplate with everything needed to build SaaS, AI tools, or web apps quickly

Ruby
DaisyUI
Tailwind CSS
Stripe
Ruby on Rails

Features:

Admin
AI
Auth
Community
Emails
Legal Pages
Magic Links
+4 more
Visit website for ShipAhead

ShipAhead

Complete Nuxt 4 boilerplate and launch SaaS in hours

JavaScript
DaisyUI
Markdown
Nuxt
Tailwind CSS
Vue.js
Drizzle ORM
Neon
PostgreSQL
Supabase
Stripe
Nuxt

Features:

Access Control
Admin
AI
Analytics
Animations
API
Auth
+51 more

Showing 9 of 10 boilerplates

Why Choose Storage Boilerplates?

Storage represents a complete full-stack feature with dedicated API endpoints, database models, and UI components architected for SaaS applications. Our boilerplates with Storage implement layered architecture patterns—separating business logic, data access, and presentation—with security measures and testing strategies specific to Storage's functionality.

Storage boilerplates implement full-stack architecture with service layers for business logic, repository patterns for data access, and RESTful/GraphQL API endpoints. They include Storage-specific security measures like input validation with schema libraries (Zod, Joi), parameterized queries for SQL injection prevention, and CSRF protection. The implementation handles Storage's real-time requirements with WebSockets or SSE when needed, includes comprehensive error handling, and follows OWASP security guidelines for Storage's functionality.

Key Benefits

  • Storage layered architecture
  • Storage-specific security measures
  • Storage API endpoint design
  • Storage real-time capabilities
  • Storage validation schemas
  • Storage error handling
  • Storage testing suite
  • Storage performance optimization

Browse our collection of 10 Storage boilerplates to find the perfect starting point for your next SaaS project. Each boilerplate has been carefully reviewed to ensure quality, security, and production-readiness.

Frequently Asked Questions

How is Storage architecturally implemented?

Storage is implemented following full-stack architecture patterns with dedicated API endpoints, database models with proper relationships, and corresponding UI components. The feature includes its own service layer for business logic, validation schemas, error handling, and event-driven updates. The architecture separates concerns between presentation, business logic, and data access layers, making Storage maintainable and testable.

What security measures protect Storage?

Storage implements defense-in-depth security including input validation with schema validation libraries (Zod, Joi, Yup), parameterized database queries to prevent SQL injection, output encoding to prevent XSS attacks, CSRF token validation, and proper authentication/authorization checks. The feature includes rate limiting, audit logging, and follows OWASP security guidelines specific to Storage's functionality.

How does Storage handle real-time updates?

Storage can include real-time capabilities using WebSockets, Server-Sent Events (SSE), or polling strategies depending on the use case. Real-time implementations use Socket.io, native WebSockets, or framework-specific solutions with proper connection management, authentication, and scaling considerations. The feature handles reconnection logic, message queuing, and optimistic UI updates for responsive user experience.

What API patterns does Storage use?

Storage's API endpoints follow RESTful principles or GraphQL patterns with proper HTTP methods, status codes, and response structures. The implementation includes request validation, pagination for list endpoints, filtering and sorting capabilities, and comprehensive error responses with meaningful messages. API versioning, rate limiting per endpoint, and OpenAPI/GraphQL schema documentation are included for Storage's public-facing endpoints.

How is Storage tested and validated?

Storage includes unit tests for business logic, integration tests for API endpoints and database interactions, and end-to-end tests for critical user flows. The testing suite uses framework-specific tools (Jest, Pytest, RSpec, PHPUnit) with mocking libraries, test fixtures, and database seeding. Tests cover happy paths, error cases, edge conditions, and security scenarios specific to Storage's functionality with proper test coverage reporting.