Dandi API - Boilerplate for AI Micro SaaS Applications

🤯 🤯 This repo was buikt with ENGLISH as the programming language with Cursor IDE and v0.🤯

Dandi API is a comprehensive boilerplate repository for building AI-powered micro SaaS applications. It provides a solid foundation with essential components and functionalities needed to run an end-to-end micro SaaS application.

The service itself offers powerful insights, summaries, and analytics for open source GitHub repositories.

🌐 Live Application: https://www.dandi.cloud/

🚀 Key Features

Complete Micro SaaS Structure: Implements all necessary components for a fully functional AI micro SaaS application.
API Key Management: Built-in system for handling API keys, UI heavily inspired by Tavily.
Rate Limiting: Integrated rate limiting for API protection.
SSO Login: Implemented Single Sign-On functionality.
AI Integration: Leverages LangChain JS for AI capabilities.

🛠️ Built with Cursor IDE and v0

This entire project was developed using Cursor IDE, primarily through prompting with Cursor Composer and v0 . As a developer without frontend or full-stack experience, this project demonstrates the power of AI-assisted development.

ENGLISH IS THE NEW PROGRAMMING LANGUAGE.

🧰 Tech Stack (TBH, Cursor did it all for me)

Frontend: React, Next.js 13 (App Router), Tailwind CSS
Backend: Node.js, Next.js API Routes
Database: Supabase (PostgreSQL)
Authentication: NextAuth.js
UI Components: Shadcn UI, Radix UI
API: RESTful API with rate limiting and API key authentication
AI: LangChain JS 🦜🔗
Deployment: Vercel

🚀 Getting Started

To run this project locally, follow these steps:

Clone the repository:

git clone https://github.com/yourusername/dandi-api.git
cd dandi-api

Install dependencies:
```
yarn install
```
Set up environment variables: Create a .env.local file in the root directory and add the necessary environment variables (refer to the Environment Variables section below).
Run the development server:
```
yarn dev
```
Open http://localhost:3000 in your browser to see the application.

🔐 Environment Variables

Create a .env.local file in the root directory with the following variables:

DB_URL=
DB_NAME=
DB_USER=
DB_PASSWORD=
GOOGLE_CLIENT_ID=
GOOGLE_CLIENT_SECRET=
NEXTAUTH_SECRET=
NEXTAUTH_URL=
NEXT_PUBLIC_SUPABASE_URL=
NEXT_PUBLIC_SUPABASE_ANON_KEY=

Note: Keep your .env.local file secure and never commit it to version control.

🏗️ Build and Production

To build the project for production:

yarn build

To run the production build locally:

yarn start

📚 See How to Build This Project with Cursor and v0

For a detailed video tutorial on how to build this micro SaaS application from scratch with cursor and v0, check out my Udemy course:

Cursor AI: Full Stack development with AI powered CoPilot

🚀 From Backend to Full-Stack with Cursor IDE and v0 Magic!

In this course, I will show you how to build this entire app rapidly using AI:

🖥️ Most of Cursor IDE & v0 by Vercel
🧠 AI-Driven Development Workflows
🛠️ Building a Complete AI Micro SaaS (LangChain JS)
💡 Prompting Techniques for Coding and working with AI
💡 Cursor Copilot best practices (at least for me)

spham/dandi