This is the frontend application for OnChain Sage, an AI-driven decentralized trading assistant built with Next.js. The frontend provides an intuitive interface for crypto traders to analyze real-time social sentiment and on-chain market data.
- Framework: Next.js 14+
- Styling: Tailwind CSS
- Data Visualization: Chart.js/D3.js
- Language: TypeScript
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
The frontend is organized to support various features including:
- Real-time dashboard for token analytics
- Social sentiment visualization
- On-chain metrics monitoring
- Integration with Raydium and Dex Screener data
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, a custom font designed for optimal readability.
To learn more about the technologies we're using:
- Next.js Documentation - Next.js features and API
- Tailwind CSS - Utility-first CSS framework
- Chart.js - Simple yet flexible JavaScript charting
- D3.js - Data-Driven Documents
The application is configured for deployment on Vercel, offering:
- Automatic deployments on merge to main
- Preview deployments for pull requests
- Edge network distribution
Check out our deployment documentation for more details.