[RFC] Analytics Hub for Uniswap's Revitalization and Growth Program

Requests for Comment
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Summary

This proposal seeks to utilize Forse to help analyze the effectiveness of the four other chains the Uniswap community chooses as part of the Uniswap Revitalization and Growth Program.

Motivation

Analysis of the Uniswap Revitalization and Growth Program was delivered in March 2025, and there has been both positive feedback as well as requests to apply the program to other chains, especially Unichain. However, after discussing with various Uniswap DAO participants, as the Unichain incentives program is still ongoing, it was communicated that it would be beneficial to assess other chains that went through the incentive program first before revisiting Unichain assessment.

What is Forse?

Forse, built by StableLab, is a data and intelligence platform designed to help blockchains and DeFi protocols measure, analyze, and optimize their growth and operational efficiency. By integrating onchain user and network metrics with offchain data, Forse provides actionable insights that drive more thoughtful decision-making and showcase the tangible benefits of the Unichain ecosystem.

With deep expertise in protocol operations and DAO governance, Forse will allow Unichain stakeholders to make data-backed strategic decisions. Our dashboards and analytics solutions enhance transparency, measure the impact of initiatives, and demonstrate Unichain’s competitive advantages.

We work closely with protocol teams to understand their unique objectives and tailor our analyses using extensive datasets. Our experience with leading DAOs, including Sky (FKA MakerDAO), Arbitrum, Optimism, and Uniswap, positions Forse as the ideal partner for delivering a robust, data-driven analytics solution customized for Unichain.

Team

Dr. Christian Ziegler is the CTO at StableLab. Previously, he worked as a researcher at the Technical University of Munich (TUM), where he wrote his doctoral thesis on DAOs. In 2018, he co-founded Blockcurators GmbH. Christian has several published scientific articles, including a Taxonomy of DAOs; scoring methodologies for DAOs; network analysis of DAOs; and classification of DAO proposals using LLMs; among others.

Johannes Loewe is the Data Lead at StableLab, where he focuses on all stages of AI and ML development, from experimentation to deployment. Before joining StableLab, he was a Freelance AI & Blockchain Software Engineer. He also has experience with DAOs, being a founding member of PretzelDAO in Munich. He holds a Bachelor’s degree from Radboud University in the Netherlands and a Master’s degree in Machine Learning from NUI-Galway in Ireland.

Marcos Miranda is the Head of Product at StableLab. With 6 years of experience in Product Management, focusing on Web3 and Analytics products, he is also experienced in building DeFi protocols, having previously worked for other protocols in the space.

Methods

Building upon the frameworks used in the original analysis, this proposal extends the same level of detail and transparency across four additional chains. As before, our methodology combines statistical modeling, user segmentation, and performance benchmarking ensuring the surfaced insights are valuable to the DAO.

Our methods will include:

  • Time-series data analysis across key protocol metrics, such as TVL, volume, Liquidity Provision, and Activity.
  • Difference-in-Differences modeling to highlight causal impact of incentives on key protocol metrics.
  • Cohort Analysis of LPs and general users, with different segmentations based on, pool type usage, and general behavior.
  • Efficiency Metrics to track TVL and Volume per dollar of incentives spent, with pool based segmentations.
  • User Acquisition Cost, retention and stickiness indicators to analyze long-term impact of incentives on the aforementioned segmentations .
  • Rewards flow mapping to visualize post-incentive asset movements and claim, held, and sold behaviors.

Specification

The insights and graphs produced as a result of this analysis will be displayed in the already existent Uniswap Incentives terminal, alongside the outcomes of our previous work, effectively creating an analytics hub showcasing:

  • Incentive ROI and impact quantification in terms of TVL and Volume generated per dollar of incentives.
  • User Segmentation and retention analysis, enabling the understanding of different user types, their acquisition cost and likelihood to remain in the ecosystem..
  • Campaign Efficiency Analysis, visually representing comparisons on the best cost-to-growth performance across pools and chains.
  • Benchmark and Comparative Analysis, featuring comparisons in terms of performance and growth with other relevant ecosystems and protocols.
  • Flow Analysis on Rewards, highlighting behaviours and destination of rewards.

We believe extending our analysis into 4 additional chains will provide Key Uniswap Stakeholders with a more comprehensive view of how incentives are performing to further optimize for the future initiatives. To see Forse in action, explore our interactive terminal showcasing our previous analysis of the Uniswap Revitalization and Growth Program for Arbitrum, Base, Blast, and Scroll.

Budget Request

The proposal requests $60,000 worth of UNI to analyze the further impact of the the Uniswap Revitalization and Growth Program to analytics modules utilized in the interactive terminal. The dashboard will aim to be delivered by the end of Q2 of 2025. Forse will receive the budget only once the terminal is delivered, similar to the past analysis to ensure accountability to Uniswap DAO.

1 Like
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There will be two snapshot proposals.

  1. One would be regarding Forse proposal for four chains which the answers would be between Yes, No, Abstain.

  2. Another will be weight voting between
    Linea
    Mantle
    Zksync
    Sei
    Manta
    Moonbeam
    Polygon zkEVM
    Unichain
    No
    Abstain.

For Proposal 2, it is for chain selection feedback for the ongoing proposal
https://snapshot.box/#/s:uniswapgovernance.eth/proposal/0x675c9697cc6c8d1cab27e1cffab3fdc7740b3e978eb37d8b6dcce76d1726670f so it depends on whether the proposal Analytics Hub for Uniswap’s Revitalization and Growth Program passes.

For Unichain option, as the incentive is ongoing but as there’s a lot of interest, it’s listed as an option so that the community can see level of interest but from ranking for Forse for this proposal, it won’t be counted. So even if Unichain is among the top 4, it will skip it to include the next one into top 4. But Unichain related proposal could become its own RFC in the future if it’s highly in demand.

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The snapshots are now live.

For Proposal that will decide whether it proceeds is this https://snapshot.box/#/s:uniswapgovernance.eth/proposal/0x675c9697cc6c8d1cab27e1cffab3fdc7740b3e978eb37d8b6dcce76d1726670f

And this is for chain selection feedback https://snapshot.box/#/s:uniswapgovernance.eth/proposal/0xd0e154ab11dfeed1fb652c4a4db011937ffa7dd3333847936c09a668b5e5e804

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Hi @Doo_StableLab we’ve noticed that the Uniswap Foundation and Gauntlet have committed to providing a dashboard with the results of the incentives launched on Unichain. Don’t you think there’s some overlap here with Force’s proposal for Unichain?

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This proposal itself explicitly excludes Unichain. But even if it was for unichain, there can be different ways to assess and analyze

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We support adding four other chains to the analytics as it gives a more complete picture, and the insights from the terminal have been helpful for understanding how incentives impact growth (ex: sticking with high-utility pairs, reward time-weighted liquidity, delaying or vesting incentives).

Current TVL on these other chains listed as options is very low, would be helpful to understand if there were any sudden withdrawals (like incentives ending) or if it happened slowly over time.

We didn’t include Unichain in our picks but we would definitely like to see a dedicated RFC for Unichain as it’s the most interesting deployment worth deeply understanding right now.

Curious @alphagrowth have you shown these dashboards to the chains you are talking about as a way for them to better design their incentives?

1 Like
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Thank you @Doo_StableLab, we very much appreciate StableLab’s continued engagement and work delivered in the initial proposal and terminal. Admittedly, we have not dug deep into the numbers but recognise this has provided valuable initial insights into the incentive programs and their effectiveness. Extending this analysis to additional chains now that we have the terminal up and running makes sense to provide a broader dataset across different chain environments and to keep refining future strategies to optimise the use of DAO resources.

However, we do have a couple of points that we’d like further clarity on before we are comfortable backing the proposal fully onchain. For now, we’ll abstain on the temp check but remain open to support a revised proposal that addresses these points with greater clarity.

  • Ideally, we think the DAO should first assess the utility of the initial output before funding more of the same. To what extent has the DAO used the terminal, i.e. have the recommendations started informing discussions or decisions?

  • We’ve seen differing views on the value of analysing chains with lower DeFi TVL. Our perspective is that this depends heavily on the DAO’s specific strategic objectives – whether the goal is to maximise immediate TVL on large chains or understanding performance across a spectrum of ecosystem “maturities” and potential growth areas. Any thoughts here?

Thank you!

1 Like
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I’m voting yes on this proposal to expand the Uniswap V4 dashboard to cover four new chains for a $60,000 budget. The last dashboard, built for the same amount, delivered solid insights on major chains like Arbitrum and Base, so this feels like a fair ask to keep the momentum going. Those chains are big but haven’t run incentives lately, which makes it smart to shift focus to younger, fast-growing ones with active or recent incentive programs—exactly what this proposal targets.

I’m particularly stoked about including Linea and ZKsync. Linea’s got a lot of buzz with airdrop expectations driving engagement, and ZKsync’s Ignition program is still fresh, boosting its TVL and activity. Expanding the dashboard to chains like these makes sense to track where Uniswap V4 can gain traction. StableLab’s proven they can deliver on time, and the budget aligns with the last proposal’s scope. This is a practical move to stay ahead in a competitive space, and I think it’s worth supporting.

2 Likes
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The following reflects the views of L2BEAT’s governance team, composed of @kaereste, @Sinkas, and @Manugotsuka, and it’s based on their combined research, fact-checking, and ideation.

We decided to vote AGAINST.

First, we’d like to thank the StableLab team for the time and effort put into this proposal. The Forse dashboards you’ve built are clear, well‑structured, and helpful for anyone tracking the first round of incentive campaigns.

We have nothing against Forse—it’s a solid tool—but we haven’t seen tangible outcomes that would help us justify funding integrations for four more chains. Before extending the coverage for additional chains it would be good to understand better what value does the current dashboard bring and how it can be used most effectively. If usage grows and the dashboard proves more value to the DAO, we’d be happy to revisit the idea in the future.

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I don’t think we have discussed with Alpha Growth team about these dashboards but I think it could be interesting for them and UAC to utilize to better discuss incentive campaigns .

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Also, thanks all for participation, and we like to note that we will give ourselves time to reflect on feedback and suggestions before moving to onchain. The end proposal itself could look different or could even be a joint proposal.

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Thanks for the questions. First part is it helped to visualize and see impacts from the campaigns. As some chains were able to do better than others, and some pairs performed better than others. And it helped to show rooms for improvements. And ironically but in fairness, it’s being as an example to showcase how some campaigns have underperformed. So we have sparked more conversations to have better methods to target incentives.

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Another key point was what users are doing with UNI incentives they get, and we have showcased that most are indeed getting sold or bridged over, and this is encouraging more to think of better methods once again.

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But overall we do understand and hear that the community might prefer to see incentive optimization rather than retro incentive analysis. We are happy to collaborate with other parties that utilize incentives such as @GFXlabs and @Gauntlet

2 Likes