BOT-Sensei is a modern Next.js + Tailwind CSS SaaS landing page template designed for AI/chatbot businesses, educational platforms, and SaaS products. Perfect for companies looking to showcase their AI-powered solutions with a professional and engaging online presence.
- 🚀 Built with Next.js 14 and Tailwind CSS
- 💻 Fully responsive design
- 🎨 Clean and modern UI
- ⚡ Optimized performance
- 🔒 TypeScript support
- 📱 Mobile-first approach
- 🎯 SEO-friendly
- 🌙 Dark mode support
Check out the live demo here 👉 https://botsensei.vercel.app/
This is a Next.js project bootstrapped with create-next-app
.
- Node.js 18+
- npm/yarn/pnpm/bun
- Clone the repository:
git clone https://github.com/yourusername/bot-sensei.git
- Install dependencies:
cd bot-sensei
npm install
# or
yarn install
# or
pnpm install
# or
bun install
- Run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
- Open http://localhost:3000 with your browser to see the result.
bot-sensei/
├── app/
│ ├── components/
│ ├── layout.tsx
│ └── page.tsx
├── public/
│ └── images/
├── styles/
│ └── globals.css
├── types/
└── utils/
You can start editing the page by modifying app/page.tsx
. The page auto-updates as you edit the file.
This project uses next/font
to automatically optimize and load Geist, the custom font family from Vercel.
The easiest way to deploy your Next.js app is to use the Vercel Platform.
Check out the Next.js deployment documentation for more details.
To learn more about the technologies used in this template:
- Next.js Documentation - Next.js features and API
- Learn Next.js - Interactive Next.js tutorial
- Tailwind CSS Documentation - Utility-first CSS framework
For support, please email [email protected] or [email protected] or open an issue on the repository.
This project is licensed under the MIT License - see the LICENSE file for details.
Contributions are welcome! Please feel free to submit a Pull Request.
- Vercel for hosting infrastructure
- Tailwind CSS for the utility-first CSS framework
- Next.js team for the amazing framework