We appreciate you taking the time to work through an alternative mechanism to Uniswap Proposal 1.2.
The model presented here represents a small slice of Uniswap Proposal 1.2, misunderstood and targeted by Dune Analytics’ Twitter thread last month. The results weren’t simply $5k super dashboards (we have found bounties, btw, do not need to be nearly that high for effective on-demand outcomes). Uniswap Proposal 1.2 articulates analytics as a mechanism to educate and motivate new, well-equipped users to enter and become active participants in the Uniswap ecosystem.
Putting apples and oranges aside for a moment:
We recognize your recommendation as something that will feel native and comfortable to the crypto community. It mimics well the structure of a now-standard grants program; similar to ones run by Uniswap (@kenneth manages an amazing program) as well as by AAVE, Compound, and many others. To that end, many parts of the program will feel neutral and community-friendly.
While this ‘pilot-grant’ structure is recognizable, replicating it here is a misguided effort.
Your proposal notes that “running the program will be a time-consuming task that will require significant commitment by at least one of the committee members.” This underestimates the complexity and demands of running an effective on-demand analytics program at scale, and thus is likely to fail as currently framed.
An effective program consists of a number of variables:
| Variable | Details |
|---|---|
| Sourcing questions | A strategy for culling questions from the protocol and community members. |
| Framing Questions | Taking unstructured asks and turning them into effective bounty-able questions |
| Setting Bounty Fee Structures | Evaluating question difficulty and assigning fee structure to the bounties |
| Evaluating Results & Quality Control* | Reviewing and analyzing outputs for conclusiveness, quality control, and data clarity. |
| Payment Processing | Fee distribution, accounting, tracking, and auditing. Also, enabling tax treatment processes. |
| Community Management | There will be countless questions and commentary along the way that will require technical and social know-how |
*Critically, evaluating results across platforms and data sets would require someone who is incredibly sophisticated in data, is operationally capable, can remain unbiased - and who will be able to dedicate an incredible amount of time each week to this service. At scale, the time required will require multiple full-time individuals.
We appreciate the effort here and commend Dune for drafting up this loose framework based on existing grant programs. Unfortunately, this vastly under-estimates and under-represents the effort and processes required to deliver a positive outcome.
The operational gaps it leaves are exactly what Flipside’s programs are designed to solve, and thus why we were compelled to introduce Community-Enabled Analytics to the community in the first place.
In a perfect world, Dune would have reached out to us to discuss, certainly to understand Proposal 1.2 before they went on the offensive and tweet-attacked it, and subsequently before they made this recommendation here.
As such, we look forward to integrating this general framework and feedback into our potential resubmission of proposal 1.2.