DAO-Analyzer is a web dashboard that shows the state and evolution of DAOs. In particular, you can see, among other things, the number of DAO members and how active they are, the evolution of proposals the DAO votes on, and the state of cryptoassets and cryptotokens that the DAO manages.
DAO stands for Decentralized Autonomous Organization. A DAO is an organization that mediates through blockchain and that enables new ways of collectively running a project, typically by voting proposals and allocating cryptofunds.
DAO-analyzer monitors, so far, the DAOs from the following platforms: DAOhaus, Aragon and Daostack. These platforms facilitate the deployment of a DAO in a blockchain and the interaction of the DAO members with the DAO.
While each DAO platform provides different ruling mechanisms for DAOs, they all essentially provide mechanisms for voting and for the allocation of cryptofunds.
The DAOs that we monitor are running on public blockchains. Mainly, in the Ethereum mainnet, that is, the primary public Ethereum blockchain network. However, in recent times, DAO platforms make it possible to deploy and operate a DAO in other chains, such as Gnosis (formerly xdai) or Polygon, that are designed to address Ethereum mainnet issues like slow transactions, high fees and throughput problems. DAO-Analyzer also monitors the DAOs in such networks.
DAO-Analyzer retrieves the data from the different blockchains using The Graph, an indexing protocol for querying decentralized networks such as Ethereum, Gnosis, Polygon, etc. Using this protocol, we get the public data stored on the blockchain about each DAO.
In the blockchain, there is a record of every action made by the DAO software (remember that a blockchain can be viewed as a decentralized database). Thus, we use the The Graph protocol to query the blockchain and retrieve information about the DAO: membership, assets, voting, etc.
We publish the dataset daily on Kaggle. If you want to cite it, it is also available on Zenodo with DOI 10.5281/zenodo.7669709.
We are researchers of the GRASIA research group of Universidad Complutense de Madrid.
In particular, DAO-Analyzer is developed under the umbrella of two research projects: Chain Community, funded by the Spanish Ministry of Science and Innovation (RTI2018‐096820‐A‐I00) and led by Javier Arroyo and Samer Hassan; and P2P Models, funded by the European Research Council (ERC-2017-STG 625 grant no.: 75920), led by Samer Hassan.
The programmers of this project were formerly Youssef El Faqir El Rhazoui and currently David Davó Laviña, Elena Martínez Vicente is in charge of the UI/UX and Javier Arroyo leads the development of the product.
DAO-Analyzer is free open source software and we develop it in the open. You can have a look at the code on Github.
Also, you can follow us on Twitter.
You can just cite one of our publications:
Javier Arroyo, David Davó, Elena Martínez-Vicente, Youssef Faqir-Rhazoui, and Samer Hassan (2022). "DAO-Analyzer: Exploring Activity and Participation in Blockchain Organizations.". Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (CSCW'22 Companion). ACM, 193–196.
Or, if you want to explicitly cite the application:
Arroyo, Javier, Davó, David, Faqir-Rhazoui, Youssef, & Martínez Vicente, Elena. (2023). DAO Analyzer. Zenodo. https://doi.org/10.5281/zenodo.7669689
If you are interested, you can read more information about DAO-Analyzer and the research papers based on it.
-
A post for humans in the P2P Models website.
-
Our research paper in OpenSym 2020, where we presented the tool and showed its use with a case study.
-
Out research paper in HICSS 2021, where we use the tool to have a look at the voting system of the DAOstack platform.
-
Our “late breaking work” paper presented at CHI 2021, where we investigated the effect of the increase in the Ethereum transaction costs and the activity in DAOs.
-
Our article in the Journal of Internet Services and Applications, where we compare the evolution of three DAO platforms.
-
Our extended-abstract from the demo performed at CSCW 2022, where we present the current state of the application and its architecture.
Stay tuned for more!