Contact Boilerplates

Explore 4 boilerplates in this collection. Find the perfect starting point for your next project.

Visit website for Divjoy

Divjoy

React codebase generator for SaaS products and landing pages

HTML
JavaScript
TypeScript
Bootstrap
Bulma
Material UI
Tailwind CSS
Firestore
Supabase
Stripe
Gatsby
Next.js
React

Features:

Analytics
Auth
Contact
Dashboard
Emails
Landing Page
Navigation
+5 more
Visit website for RyzeKit Astro

RyzeKit Astro

The ultimate Astro SaaS starter kit

JavaScript
TypeScript
DaisyUI
Tailwind CSS
MySQL
PostgreSQL
SQLite
Lemon Squeezy
Stripe
Astro

Features:

Analytics
Auth
Blog
Contact
Dark Mode
Dashboard
Docs
+6 more
Visit website for SaaSy Land

SaaSy Land

The ultimate, modern, open-source Next.js template with pre-configured authentication and database integration

JavaScript
TypeScript
shadcn/ui
Tailwind CSS
Prisma
Stripe
Next.js
React

Features:

AI
Analytics
Auth
Blog
Community
Contact
ContentLayer
+6 more
Visit website for Supastarter

Supastarter

Scalable and production-ready SaaS starter kit for Next.js, Nuxt, and SvelteKit.

JavaScript
TypeScript
Radix UI
Radix Vue
shadcn/ui
Tailwind CSS
Prisma
Chargebee
Creem
Lemon Squeezy
Polar
Stripe
Next.js
Nuxt
React
Svelte
SvelteKit
Vue.js

Features:

Access Control
AI
Analytics
API
Auth
Blog
Contact
+10 more

Why Choose Contact Boilerplates?

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

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

Key Benefits

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

Browse our collection of 4 Contact 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 Contact architecturally implemented?

Contact 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 Contact maintainable and testable.

What security measures protect Contact?

Contact 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 Contact's functionality.

How does Contact handle real-time updates?

Contact 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 Contact use?

Contact'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 Contact's public-facing endpoints.

How is Contact tested and validated?

Contact 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 Contact's functionality with proper test coverage reporting.