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vetra-nextjs-frontend-app — Next.js Business Template

By aphelion31

Vetra is a Next.js-based front-end template for an AI marketing automation platform; the README states it provides interfaces for campaign management, content generation, and performance analysis.

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Recorded 2026-10-14View source

What stands out

A quick read of the recorded project description.

01

The README states the template is for an AI marketing automation platform and includes interfaces for campaign management, content generation, and performance analysis

02

The tech stack includes Next.js 15, TailwindCSS, Shadcn UI, Framer Motion, TypeScript, and Number Flow

03

Provides two ways to install dependencies and start the development server: pnpm and yarn

04

Requires configuring the NEXT_PUBLIC_APP_URL environment variable via a .env file

05

The deployment section points to the Vercel platform and the Next.js deployment documentation

06

Uses the MIT license; the README welcomes Pull Requests

Template Details

Vetra is a front-end project for an AI marketing automation platform, positioned by the README as an interface for managing marketing campaigns, generating content, and viewing performance analysis. For the tech stack, the README lists Next.js 15, TailwindCSS, Shadcn UI, Framer Motion, TypeScript, and Number Flow. Installation steps are to clone the repository, install dependencies with pnpm or yarn, run pnpm run dev or yarn dev, and open http://localhost:3000 in a browser. For environment variables, the README requires creating a .env file in the root directory and setting NEXT_PUBLIC_APP_URL. For deployment, the README only points to the Vercel platform and the Next.js deployment documentation, without more specific deployment configuration. The README does not describe backend APIs, data sources, authentication methods, AI model integration, or production environment considerations; these need to be confirmed independently.

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Is it right for your project?

Use Cases

  • Building a front-end interface prototype for a marketing automation platform
  • Using it as a project starting point for a Next.js and Shadcn UI combination
  • Running it locally and viewing campaign management and analytics pages
  • Doing secondary development based on the existing code and submitting Pull Requests

Suitable For

  • Developers who need a front-end template for an AI marketing automation platform
  • Teams using the Next.js, TailwindCSS, and TypeScript tech stack
  • Individuals or organizations that want to reuse the code under the MIT license and do secondary development

Getting started & customization

Use these recorded setup notes alongside the repository instructions for your chosen version.

  1. 1

    Clone the repository: git clone https://github.com/bforbilly24/vetra-nextjs-frontend-app.git

  2. 2

    Install dependencies: pnpm install or yarn install

  3. 3

    Start the development server: pnpm run dev or yarn dev

  4. 4

    Open http://localhost:3000 in a browser

  5. 5

    Create a .env file in the root directory and set NEXT_PUBLIC_APP_URL

Read repository instructions

License & source material

Usage conditions & limitations

Free to use · keep license notice

This entry covers the free version in a public repository under the MIT license; the free scope is the code of that version and does not mean external services or third-party assets are free.

Must comply with when using

  • Allows free use, modification, commercial use, and distribution of that version's code.
  • When distributing copies or substantial portions of the code, retain the original author's copyright notice and the complete MIT license notice.
  • The code is provided as is; warranties and limitations of liability are governed by the original license and applicable law.

Additional costs & items to verify

  • Demo images, fonts, icons, and other third-party assets must be checked against their respective licenses and cannot be judged solely by the code's MIT license.
  • External services such as domains, hosting, databases, payments, or AI may incur separate charges.
View Original Text Basis

Compiled by DeepSeek based on repository license and README ·2026-10-14. Results only cover the materials read; dependencies, images, fonts, and subsequent term changes are subject to their respective original texts.

Project checks & description sources

Template Information

Source platforms
GitHub
Documentation and maintenance reference score
Partly documented · 69 / 100
Technologies
Next.js · React
Website type
Corporate Website
How this score is calculated

Our heuristic uses license records (up to 30), a demo link (12), a preview (10), stars (15), recorded maintenance (15), description completeness (8), feature records (5) and classification data (5). It is not a code, security or performance test, or a Google score. A link does not establish tested functionality.

What to verify for this project

Repository update recorded
2025-07-21
Screenshot last checked
2026-10-14

A demo link is listed. Check it with your own content and viewport sizes; its presence does not confirm that forms, authentication or payments work.

The catalog identifies Next.js as the primary stack. Check the actual dependency manifest and lockfile for versions and hosting requirements. These notes use recorded metadata, not a code audit or a deployment test.

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How this description was prepared

AI-assisted description based on catalog records and repository material. Repository authors are not automatically the reviewers of this description.

Review declaration: codex-user-requested-batch-review-20261015 · 2026-10-15

Inspect the recorded source material

SHA-256: f0e63f021d7b78123c18aeec5bde43f926d4a5b546724a8f39443c4dea1423fa

2026-10-14T10:03:19.487Z

Source file / repository
<img src="https://github.com/user-attachments/assets/9594d359-0988-4fec-b588-0dcee51168e3" alt="Vetra Logo" width="50" height="50">

# 🚀 Vetra - AI Marketing Automation Platform

<img src="https://github.com/user-attachments/assets/df541304-ea1c-4ebe-b6fd-2e093680314f" alt="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.

## 💻 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:
    ```bash
    git clone https://github.com/bforbilly24/vetra-nextjs-frontend-app.git
    ```

2. Install dependencies:
    ```bash
    pnpm install
    # or
    yarn install
    ```

3. Run the development server:
    ```bash
    pnpm run dev
    # or
    yarn dev
    ```

4. Open [http://localhost:3000](http://localhost:3000) in your browser

## 🔧 Environment Variables

Create a `.env` file in the root directory:

```env
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](https://vercel.com/new) from the creators of Next.js.

Check out the [Next.js deployment documentation](https://nextjs.org/docs/deployment) 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](LICENSE) file for details.
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