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    Fragments

    An investment DAO solution with multichain fundraising, NFT to ERC-20 conversion, gasless voting and vault creation

    Demo

    About

    Feature descriptions based on our 3 personas; Investors, Delegates and Asset Owners. The Investors can : - Deposit any EVM-compatible token to invest in a vault - Track all their investments in a consolidated view - Have an ERC20 token to represent their share in a vault - Vote on proposals proportional to their share in a vault - View all announcements regarding the DAO investments in one place - Explore and invest in purchase orders with DAOs on the platform The Delegate can: - Set up a vault to collectively invest with their community - Each vault can have a single or multiple purchase orders to invest in NFTs, tokens, and Defi pools. - Make announcements and proposals that all investors can vote on according to their share in the vault The Asset Owner can: - Set up a vault to collectively invest with their community - Start a purchase order to fractionalize their current NFT. - Airdrop ERC-20 tokens to their investors to represent their share in the vault. - Make announcements and proposals that all investors can vote on according to their share in the vault

    How it's made

    Web 3 Networks - Polygon and Ethereum Token distribution - Polygon, help reduce the gas cost to distribute tokens Voting and Proposals - Polygon, helped reduce the gas cost for voting so that we can bear the gas cost for the user Safe Creation - Gnosis Safe Storage - IPFS, helped in enabling NFT storage NFT APIs - NFTPort, helped fetch the real-time price of the NFTs Multichain bridge - Socket Tech, helped in making deposits easier from any chain and token Libraries - ethers.js, web3.js, Frontend - next.js, Tailwind CSS Backend node.js - run time environment DynamoDB AWS - database to share data between L1 and L2 Lambda AWS - Authentication for fundraising completion, token airdrop and deploying Gnosis Safe across Ethereum, Polygon and other EVM chains API gateway AWS - Adding security to our Lambda functions