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Swarms

SwarmS is a No Code Tool to create Data DAOs. With SwarmS you can take your Swarm on chain quickly to manage data along with governance.

Swarms

Created At

FVM Space Warp

Project Description

SwarmS

SwarmS is a No Code Tool to create Data DAOs. With SwarmS you can take your Swarm on chain quickly to manage data along with governance.

Features

  • Managing Proposals
  • OnChain Voting
  • Execution of proposals
  • Storing data as per the voting results

Upcoming Features

  • Asset Management Tool
  • Streaming funds to make perpetual storage functionality

FVM enables a new kind of data-centric DAO that has heretofore been impossible. DataDAOs are DAOs whose mission revolves around preserving, curating, augmentation, and promoting datasets considered valuable by their stakeholders.

Creating DataDaos should be easily available for everyone, and thus no code tools are required to make the process easier. Currently, we have a few features which are kinda basic for Data Daos, like finding the best deals on the network and then executing the proposals on top of the chain.

The entire voting takes place on the chain and the execution is handled by the actor. This way having governance on the chain whilst able to have governance on storage is something which has never been done before and having an easy-to-use interface to create and manage them makes it easier for the users to have an awesome experience.

How it's Made

The nascent stage of FEVM is hard for developers to get started with the development environment. We are currently using a mock market to get the deals for the storage providers as of now. FEVM doesn't have indexers as of now thus, integrating with frontend and indexing correctly for showcasing the data in frontend is not that flexible. We used ethers and wagmi libraries to make it easier for us to integrate frontend and smart contracts.

Understanding DataDaos as a concept is quite new and then implementing its code in the smart contracts as a factory was a territory which is not much explored and thus we faced some hurdles there.

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