Bild96 / wizzard

πŸ§™β€β™‚οΈis a web application that allows users to quickly query an Ethereum address or an ENS name via a browser. It fetches and displays the NFTs and tokens associated with the queried address. The project utilizes Next.js, TailwindCSS, and DaisyUI for the frontend and uses the OpenSea and Covalent APIs for data fetching.

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πŸ§™β€β™‚οΈ wizzard

Description

wizzard is a web application that allows users to quickly query an Ethereum address or an ENS name via a browser. It fetches and displays the NFTs and tokens associated with the queried address. The project utilizes Next.js, TailwindCSS, and DaisyUI for the frontend and uses the OpenSea and Covalent APIs for data fetching.

Table of Contents

  1. Installation
  2. Usage
  3. Features
  4. License

🀳 Screenshots

Screenshot from 2024-03-11 02-48-53

Installation

To get started with wizzard, follow these steps:

  1. Clone the repository:

    git clone https://github.com/Bild96/wizzard.git
  2. Create a .env.local file in the root directory and populate it with the necessary environment variables.

  3. Install packages with

    yarn
  4. Start the app with

    yarn start

Usage

To use wizzard, simply search for an Ethereum address or an ENS name in the search bar. The application will fetch and display the NFTs and tokens related to the address.

Features

  • Built with Next.js for optimal performance.
  • Styled with TailwindCSS and DaisyUI for a modern, responsive design.
  • Utilizes OpenSea API to fetch and display NFTs.
  • Utilizes Covalent API to fetch tokens and their current prices.

πŸŽ‰ Acknowledgments

πŸ—οΈ BuidlBox

License

This project is licensed under the terms specified in the LICENCE.md.

✍️ Authors

πŸ§‘β€πŸ’» Bild96

About

πŸ§™β€β™‚οΈis a web application that allows users to quickly query an Ethereum address or an ENS name via a browser. It fetches and displays the NFTs and tokens associated with the queried address. The project utilizes Next.js, TailwindCSS, and DaisyUI for the frontend and uses the OpenSea and Covalent APIs for data fetching.

License:MIT License


Languages

Language:TypeScript 96.7%Language:JavaScript 2.0%Language:Solidity 1.2%Language:CSS 0.1%Language:Shell 0.0%