Dark AI Startup SEO Landing Page with Next.jsDark AI Startup SEO Landing Page with Next.js
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Dark AI SEO Landing Page
Modern AI Startup Landing Page built with Next.js, Framer Motion, and Tailwind CSS. Designed for AI startups, SaaS platforms, and technology businesses with a sleek dark interface, responsive layouts, and smooth animations.

Attribution Disclaimer
Design adapted from AI Startup Website UI Kit — Framer Website Kit by Framer (licensed under CC BY 4.0).

Features
Modern AI startup UI with a premium dark theme
Fully responsive design for desktop, tablet, and mobile
Next.js 14 with React for high performance
Tailwind CSS for scalable utility-first styling
Framer Motion for smooth animations and transitions
Reusable components for easy customization
SEO-friendly project structure
Optimized fonts and assets with Next.js

Project Structure
src/
├── app/
│ ├── favicon.ico
│ ├── globals.css
│ ├── layout.tsx
│ └── page.tsx
│
├── assets/
│
├── sections/
│ ├── Header.tsx
│ ├── Hero.tsx
│ ├── LogoTicker.tsx
│ ├── Features.tsx
│ ├── Testimonials.tsx
│ ├── CallToAction.tsx
│ └── Footer.tsx
│
├── .gitignore
├── SECURITY.md
├── LICENSE
├── next.config.mjs
├── tailwind.config.ts
├── tsconfig.json
├── package-lock.json
└── package.json

Installation
Clone the repository
git clone https://github.com/AymaneMehdi/Dark-AI-SEO-Landing-Page.git
Navigate to the project
cd Dark-AI-SEO-Landing-Page
Install dependencies
npm install

Running the Project
npm run dev
Runs the development server at:
http://localhost:3000
Open your browser and start editing src/app/page.tsx. Changes will automatically reload during development.

Building for Production
npm run build
npm start
Builds the project for production and starts the production server.

Deployment
The easiest way to deploy your app is using Vercel Platform from the creators of Next.js.
Check out the Next.js deployment documentation for more details.

Security
Please review our Security Policy for information about reporting vulnerabilities.
License
This project is licensed under the MIT License.

Copyright © Aymane Mehdi
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