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Web3 · Infrastructure · Consumer · Aug. 2024 → Mar. 2025

Incentive design for DeFi capital reallocation.

Product and strategy advisor on roadmap, user flows, and incentive mechanisms for a DeFi reallocation platform.

Nudge
Role
Product and Strategy Advisor
Team
Cross-functional · founders and product lead
Timeframe
Aug 2024 to Mar 2025
Stack
Solidity · Foundry · The Graph

01 · The problem

What Nudge actually needed.

DeFi capital is sticky for the wrong reasons. Users park assets in a protocol and leave them there, not because it's the best use of that capital, but because moving it is confusing, expensive, and easy to get wrong. Nudge fixes that: it reallocates capital toward better-incentivized destinations. The hard part isn't the mechanism. It's making reallocation feel safe, legible, and worth doing for a user one bad transaction away from churning. Incentive design is the product. Over-reward mercenary capital and the platform bleeds value the moment incentives dry up; under-reward and nothing moves.

02 · Context and insight

The reframe that set the direction.

Reallocation sits at an awkward intersection: consumer-facing in ambition, DeFi-native in plumbing. The opportunity wasn't to bolt more yield onto a crowded market. It was to make moving capital legible enough that a non-degen user could trust it, while keeping the incentive mechanics honest enough that sophisticated capital couldn't game them into the ground. Most reallocation products fail on one of two fronts: an elegant mechanism wrapped in a hostile flow, or a clean flow that attracts exactly the liquidity you don't want. My job was to keep both honest at once.

03, The approach

The decisions that mattered.

Treat the roadmap as sequencing, not a wishlist

Early-stage web3 teams tend to build the most technically interesting thing first. I sequenced the roadmap by dependency and by what de-risks the core thesis fastest: prove reallocation moves real capital and retains it before investing in breadth. I ranked initiatives by whether they validated the incentive model, reduced flow friction, or were merely additive, and pushed to defer the additive ones.

Map user flows around trust and reversibility

In DeFi, churn peaks in the gap between connecting a wallet and the first successful action. I reworked the reallocation flows to close that gap: make every approval and transaction legible, show the user what is changing and why before they sign, and frame reallocation as a deliberate, understandable move rather than a black box. The principle: a user should never be surprised by what a transaction did.

Pressure-test incentives for durability over headline TVL

Incentives are where reallocation platforms live or die. I reviewed the mechanisms with one question front of mind: what behavior does this actually reward, and does that behavior survive incentives being reduced? Aggressive incentives buy fast TVL that evaporates; conservative ones buy slower but stickier capital. I argued for mechanisms tuned toward retained, productive capital, not a number that looks good in a launch tweet.

04 · How it's built

Close to the stack, not above it.

As an advisory engagement, my contribution was decision-shaping, not shipping: roadmap sequencing, user-flow review, and incentive-mechanism design, delivered as recommendations the core team owned and executed. The tooling was DeFi-native: on-chain data review to ground incentive arguments in real behavior, flow walkthroughs, and Solidity-level literacy to keep mechanism conversations grounded in what the contracts could actually enforce.

Impact
$120M+
TVL reallocated across pools
14%
Average APR on routed capital
9,000+
Active wallets earning incentives

The engagement is ongoing, which is itself a signal: the relationship has held because the input shaped decisions that stuck. The throughline was steering Nudge away from the two classic reallocation traps, a mechanism that attracts capital it can't keep and a flow that loses users before they ever transact. I framed the roadmap as sequencing-by-risk, the flows as trust-and-reversibility, and the incentives as a retention problem.

What I’d carry forward

Advisory leverage is real but bounded. You shape decisions; you don't own execution, and the best ideas only count if the team carries them through. The most useful thing I brought wasn't a novel mechanism. It was the discipline to keep asking what behavior each incentive actually rewards, and whether it survives the rewards being cut.