Overview

Creating a Learning Management System (LMS) SaaS app can sound daunting, but with the right tools and guidance, it becomes a manageable and exciting project. This particular resource leads you through the development of a real-time teaching platform from scratch using modern technologies like Next.js, Supabase, and Stripe. Whether you’re a beginner or looking to enhance your skills, this tutorial offers a step-by-step approach to building a fully functional application complete with user authentication, subscriptions, and payments.

Not only does this project empower you to create a powerful learning tool, but it also invites you to join a thriving community of over 50,000 members on Discord, where you can find support and share your journey with other learners and developers.

Features

• Unified User Management: Leveraging Clerk for authentication, subscriptions, and billing simplifies user management with embeddable UI components and flexible APIs.
• Fast Development with Next.js: This powerful React framework allows for server-side rendering and static site generation, enabling fast and scalable web applications.
• Error Tracking with Sentry: Real-time alerts and performance insights help in quickly identifying and fixing bugs, ensuring a smooth user experience.
• Customizable UI with shadcn/ui: A component library built on Radix UI and Tailwind CSS that offers pre-built components, allowing for easy theming and a modern design aesthetic.
• Robust Backend with Supabase: An open-source backend platform that provides instant APIs and real-time services, making it easy to build scalable applications.
• Tailwind CSS for Design Flexibility: This utility-first framework allows for creating custom user interfaces efficiently by applying utility classes directly in HTML.
• Strong Typing with TypeScript: Adds static type-checking to JavaScript, which enhances code quality and helps catch errors early during development.
• Voice Interaction with Vapi: A developer-centric platform for creating conversational voice agents, supporting multilingual interactions with low-latency voice capabilities.