A Next.js application that analyzes predictions made by Twitter users. The application provides a clean, minimalist interface for analyzing and tracking the accuracy of predictions made on Twitter.
- Prediction analysis interface
- Responsive design
- GitHub repository integration
- SEO optimization with Next.js Head component
- Framework: Next.js with TypeScript
- Styling: Tailwind CSS
- Layout: Flexbox-based responsive design
- TypeScript: Strict type checking with NextPage type implementation
-
Home Page (
pages/index.tsx)- Main entry point of the application
- Implements NextPage type for TypeScript support
- Contains the core layout structure
-
PredictionAnalyzer Component
- Core functionality component
- Located in
components/PredictionAnalyzer - Handles the main prediction analysis logic
<div className="min-h-full flex flex-col">
<Head> // SEO and document metadata
<main> // Main content area
<footer> // Application footer with GitHub link
</div>The application includes basic SEO setup using Next.js Head component:
<Head>
<title>Twitter Prediction Analyzer</title>
<meta name="description" content="Analyze Twitter user predictions" />
<link rel="icon" href="/favicon.ico" />
</Head>- Uses Tailwind CSS for utility-first styling
- Responsive design with container class
- Flex layout for full-height page structure
- Custom hover effects on footer links
min-h-full: Ensures minimum full heightflex-col: Vertical flex layoutcontainer: Centered content containermx-auto: Horizontal auto marginsflex-grow: Flexible growth for main content- Custom hover transitions on interactive elements
- Clone the repository
- Install dependencies:
npm install # or yarn install - Run the development server:
npm run dev # or yarn dev - Open http://localhost:3000
import type { NextPage } from 'next';
import PredictionAnalyzer from './components/PredictionAnalyzer';
const Home: NextPage = () => {
// Component implementation
};The application can be customized by:
- Modifying the PredictionAnalyzer component
- Updating the layout structure
- Customizing Tailwind CSS classes
- Adding additional meta tags for SEO
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a new Pull Request
The source code is available on GitHub at:
https://github.com/yourusername/twitter-prediction-analyzer
This project is open source. For complete details, see the LICENSE file in the repository.