Team 14: Proposal for Delegate Transparency in Arbitrum DAO

Proposal for Delegate Transparency in Arbitrum DAO


This proposal aims to introduce a system that provides the Arbitrum community with comprehensive and transparent information about delegates, including their voting history, trends, potential conflicts of interest, and tips for proposers. The system will be powered by LLM-generated summaries based on publicly available data, ensuring timely implementation before the upcoming ‘redelegation week’.


Ensuring the community is well-informed about delegates’ actions and stances is crucial for transparent and accountable governance. This system will empower community members to make better-informed decisions and enhance trust within the Arbitrum DAO. With the ‘redelegation week’ approaching, the need for such a system is even more critical, as it will help community members make informed decisions about their delegates during this pivotal event.


The proposed system aligns with Arbitrum’s mission and values by promoting transparency, accountability, and user-focused governance. It ensures that delegates’ actions are visible to the community, fostering a more inclusive and participatory environment. By providing detailed insights into delegates’ voting behavior and potential conflicts of interest, the system helps maintain the integrity of the governance process, supporting the long-term sustainability and security of the Arbitrum ecosystem.

Key Terms

  • LLM: Large Language Model, a type of AI that processes and generates human-like text.
  • Delegate: A member of the Arbitrum community with voting power to influence proposals.
  • Voting Trends: Patterns or tendencies in how a delegate votes on different types of proposals.
  • Conflict of Interest: Situations where a delegate’s decisions could be influenced by personal gain or affiliations.


  • Platform: The system will be built using’s infrastructure, leveraging data aggregation, multiple LLMs for data parsing, and presenting results via a web and conversational interface.
  • Technology Stack: The platform will use Typescript throughout the entire stack, Node.js for backend, React and TailwindCSS for the web interface, and various foundational models for LLM capabilities.
  • Data Sources: Public forum posts, voting behaviour, delegate statements, and other relevant public data.
  • Alternatives Considered: Manual tracking and reporting of delegate actions were considered but deemed inefficient and prone to bias.

Steps to Implement

To meet the deadline for ‘redelegation week’, this project will be a highly focused and intense build, ensuring readiness at the start of the event.

  1. Data Aggregation (3 days): Collect and organize public voting data and delegate statements.
    • Resources: 3 data engineers, $5,000.
  2. LLM Integration (4 days): Implement and train LLMs to generate summaries and insights.
    • Resources: 2 AI specialists, $15,000.
  3. Interface Development (5 days): Develop and deploy the web and conversational interfaces.
    • Resources: 2 frontend developers, $20,000.
  4. Testing and Refinement (2 days): Conduct thorough testing and refine the system based on feedback.
    • Resources: 2 QA testers, $10,000.


  • Start Date: July 8, 2024
  • Data Aggregation: July 8 - July 10, 2024
  • LLM Integration: July 11 - July 14, 2024
  • Interface Development: July 15 - July 19, 2024
  • Testing and Refinement: July 20 - July 21, 2024
  • Completion Date: July 21, 2024

Overall Cost

  • Total Cost: $50,000
    • Data Aggregation: $5,000
    • LLM Integration: $15,000
    • Interface Development: $20,000
    • Testing and Refinement: $10,000

This proposal aims to bring a new level of transparency and accountability to the Arbitrum DAO, ensuring that community members are well-informed about the actions and motivations of their delegates, in time for the upcoming ‘redelegation week’. This will be a highly focused and intense build to ensure readiness before this crucial event, thereby supporting a more informed and engaged community.

:sunny: Thanks for reading!

Other relevant links:


This active involvement is likely to increase overall engagement and participation in governance. Thank for this @daveytea

User-Friendly Interface: The web and conversational interfaces make it easy for users to access and understand delegate information, thereby encouraging more frequent interaction with the platform.

Enhanced Trust and Transparency:

Visibility of Actions: Transparency in delegates’ actions fosters trust within the community, which is essential for a healthy DAO ecosystem. So does the willingness of community members to participate and invest time and resources in the platform.

Accountability Mechanisms: Highlighting potential conflicts of interest and voting trends ensures delegates remain accountable to their constituents. This accountability builds confidence in the system, encouraging continuous interaction and deeper involvement in the governance process.

Don’t forget that there is already a delegate accounting system from Karma.
Do you want to compete with this or do you have a different vision?

Hey @cp0x, Karma product looks great, but we’re building something quite different. Maybe we’ll aggregate some of their data, but our focus is more on providing delegate transparency based on their actions and inferring where they stand, rather than only relying on the what they say.


Hey, I’m curious what you want to build. I wanted to take a look at the demo but I cannot access it.
The only thing I’m not sure about is the amount. 50k for not even a month seems pretty expensive to me. Maybe others can help me understand if that amount is the normal quote or not.

The DAO should really care more about spending. The treasury is not infinite.

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Are you able to access the demo here?
It only includes 6 delegates atm (not yourself), but i’ll expand it wider soon.

The 50k ask is expensive if you’re only considering the time to prod, but this was meant to be a ‘high priority’ execution to have it in time for re-delegation week. This was also part of GovHack, so we were also all learning about writing proposals :slight_smile:

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There’s an authentication problem to view this @daveytea, am signed in with github to vercel and still can’t see it. Can you relax the permissions?

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ah thanks for spotting that @KlausBrave !
I’ve changed the permissions now so it should be accessible for everyone now.

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