Welcome to the Spotify Playlist Randomizer Landing Page repository! 🚀 This is a beautifully designed landing page for a Chrome extension that enhances your Spotify experience by permanently randomizing your playlists.
The main landing page of the Spotify Playlist Randomizer.
- Next.js: A powerful React framework for server-rendered or statically generated pages.
- TailwindCSS: A utility-first CSS framework for rapid UI development.
- Framer Motion: A library for animations and interactions.
- TypeScript: A superset of JavaScript that adds static types.
- Modern Design: A sleek and stylish design that aligns with Spotify's theme.
- Responsive Layout: Fully responsive and optimized for various devices.
- Smooth Animations: Engaging animations for a better user experience.
- Contact Form: Easy-to-use contact form to get in touch with us.
You can see the landing page in action at http://localhost:3000 after running the project locally.
-
Clone the Repository:
git clone https://github.com/yourusername/spotify-playlist-randomizer-landing-page.git
-
Navigate to the Project Directory:
cd spotify-playlist-randomizer-landing-page
-
Install Dependencies:
npm install
-
Run the Development Server:
npm run dev
Visit http://localhost:3000 to view the landing page.
Feel free to contribute to this project by creating issues or submitting pull requests. Here are some guidelines to follow:
- Code Style: Follow the existing code style and conventions.
- Commit Messages: Write clear and concise commit messages.
- Testing: Ensure your changes are well-tested.
We welcome contributions to enhance this landing page! If you have suggestions or improvements, please:
- Fork the repository.
- Create a new branch (
git checkout -b feature/YourFeature
). - Commit your changes (
git commit -am 'Add some feature'
). - Push to the branch (
git push origin feature/YourFeature
). - Create a new Pull Request.
For any questions or feedback, you can reach out to us via:
- Email: [email protected]
- Twitter: @roshanpshetty
- GitHub: roshanpshetty
This project is licensed under the MIT License. See the LICENSE file for more details.