📌 Pintest Backend — Scalable Pinterest Clone API

⚡ High Performance API • 🧠 Smart Data Handling • 📦 Scalable Architecture

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🧠 Overview

Pintest Backend is a high-performance REST API built to power a Pinterest-like application, supporting features like image posts, user interactions, feeds, and scalable data handling.

Designed with a focus on speed, modular architecture, and scalability, this backend can handle real-world social media workloads.

💡 This project demonstrates production-level backend engineering using Node.js + MongoDB.

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⚡ Core Idea

Users create pins → Store media → Serve optimized feeds → Enable interactions

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✨ Key Features

📌 Pin Management System

• Create, update, delete pins
• Image upload & storage handling
• Metadata support (title, description, tags)

👤 User System

• Authentication (JWT-based)
• User profiles
• Follow / interaction system

🧠 Feed Algorithm (Base System)

• Dynamic feed generation
• Trending / recent pins
• Scalable query handling

⚡ Performance Optimizations

• Efficient MongoDB queries
• Indexed collections
• Optimized API responses

🔐 Security

• JWT authentication
• Protected routes
• Input validation

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🏗️ Tech Stack

⚙️ Backend

• Node.js
• Express.js

🗄️ Database

• MongoDB (Mongoose)

🔐 Authentication

• JWT (JSON Web Tokens)

📦 Utilities

• Multer (file upload)
• Cloudinary / Media storage (if used)

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📂 Project Structure

pintest_back-end/
├── routes/
├── models/
├── middleware/
├── utils/
├── config/
├── controllers/ (optional)
└── server.js

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🚀 Getting Started

1️⃣ Clone Repository

git clone https://github.com/sharadhkr/pintest_back-end.git
cd pintest_back-end

2️⃣ Install Dependencies

npm install

3️⃣ Setup Environment Variables

Create .env:

MONGO_URI=your_mongo_uri
JWT_SECRET=your_secret
PORT=5000

4️⃣ Run Server

npm run dev

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📡 API Endpoints (Sample)

Method	Endpoint	Description
POST	/auth/login	User login
POST	/auth/register	User register
GET	/pins	Get all pins
POST	/pins	Create pin
DELETE	/pins/:id	Delete pin

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🧪 Future Enhancements

• 🧠 AI-based recommendation feed
• ❤️ Like / Save system
• 💬 Comments system
• 📊 Analytics & trending engine
• ⚡ Redis caching layer

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🤝 Contributing

Pull requests are welcome! Feel free to improve performance, structure, or features 🚀

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👨‍💻 Author

Sharad Rathore 🚀 Full Stack Developer

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⭐ Support

If you like this project:

👉 Star ⭐ the repo 👉 Share it

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⚡ Final Thought

“A backend is not just APIs — it’s the engine of scalability.”