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dandi

(★ 163)

Boilerplate for building AI-powered micro SaaS apps with Next.js, LangChain JS, Supabase, auth, rate limiting, and API keys.

파일 탐색기

최종 버전 다운로드 (.zip)

- demo.gif
- next.svg
- vercel.svg
- - favicon.ico
  - globals.css
  - layout.tsx
  - page.tsx
- - utils.ts
- middleware.ts
.cursorrules
.eslintrc.json
.gitignore
components.json
jsconfig.json
LICENSE
next.config.js
next.config.mjs
package-lock.json
package.json
postcss.config.mjs
README.md
tailwind.config.js
tsconfig.json
yarn.lock

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/emarco177/dandi

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd dandi

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Node.js

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Node.js npm 명령어를 쓰려면 Node.js가 설치되어 있어야 합니다. LTS(장기지원) 버전을 추천합니다.

yarn install

package.json에 명시된 라이브러리들을 내려받아 설치합니다.

yarn dev

개발/실행 서버를 켭니다.

yarn build

배포용으로 코드를 최적화해서 빌드 파일을 생성합니다.

yarn start

개발/실행 서버를 켭니다.

✅ 명령어 실행 후 터미널에 나타나는 주소(보통 http://localhost:3000 형태)를 브라우저에서 열어보세요.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

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# 🌻 Dandi API - Boilerplate for AI Micro SaaS Applications

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

![Logo](https://github.com/emarco177/dandi/blob/main/public/demo.gif)

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/](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](https://www.tavily.com/).
- **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](https://cursor.com/), primarily through prompting with Cursor Composer and [v0](https://v0.dev/) . As a developer without frontend or full-stack experience, this project demonstrates the power of AI-assisted development.

**ENGLISH IS THE NEW PROGRAMMING LANGUAGE.**
[![udemy](https://img.shields.io/badge/Cursor%20Udemy%20Course-%20Coupon%20%2412.99-brightgreen)](https://www.udemy.com/course/cursor-ai-ide/?couponCode=APRIL-2026)

## 🧰 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:

1. Clone the repository:
   ```
   git clone https://github.com/emarco177/dandi.git
   cd dandi
   ```

2. Install dependencies:
   ```
   yarn install
   ```

3. 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).

4. Run the development server:
   ```
   yarn dev
   ```

5. Open [http://localhost:3000](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](https://www.udemy.com/course/cursor-ai-ide/?couponCode=APRIL-2026)

🚀 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)

## 🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## 📄 License

This project is licensed under the Apache-2.0 license.

## 🔗 Links
[![portfolio](https://img.shields.io/badge/my_portfolio-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://www.udemy.com/course/langchain/?referralCode=D981B8213164A3EA91AC)
[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/eden-marco/)
[![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://www.udemy.com/user/eden-marco/)