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shreyas-29/vetra技术文档

Modern AI marketing automation platform landing page built with Next.js 15, Tailwind CSS, and Framer Motion

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npm i vetra
Vetra Logo

🚀 Vetra - AI Marketing Automation Platform

Vetra Thumbnail

🌟 Introduction

Vetra is an AI-powered marketing automation platform that transforms your marketing workflow in seconds. Built with modern technologies, it offers a sleek interface for managing marketing campaigns, content generation, and performance analytics.

🔗 Live Preview

Check out the live demo of caps.ai here: Live Preview

🎥 Watch the Preview Video on YouTube

Take a look at YouTube video by watching the demo: Watch the Video

💻 Tech Stack

  • Next.js 15 – React framework for production
  • TailwindCSS – Utility-first CSS framework
  • Shadcn UI – Reusable component system
  • Framer Motion – Smooth animations
  • TypeScript – Type-safe code
  • Number Flow – Smooth number animations

🛠️ Installation

  1. Clone the repository:

    git clone https://github.com/Shreyas-29/vetra.git
  2. Install dependencies:

    pnpm install
    # or
    yarn install
  3. Run the development server:

    pnpm run dev
    # or
    yarn dev
  4. Open http://localhost:3000 in your browser

🔧 Environment Variables

Create a .env file in the root directory:

NEXT_PUBLIC_APP_URL=your_app_url

🚀 Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out the Next.js deployment documentation for more details.

🤝 Contributing

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

  1. Fork the project
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

☕ Buy Me a Coffee

If you enjoy using this project, consider supporting my work!
Buy Me a Coffee ☕


Built with ❤️ by Shreyas Sihasane

文档镜像归档自 GitHub 官方源路径 · 访问原项目 GitHub
最后同步快照:2026-11-09