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SALES & GROWTH

I designed token incentives around how each Solana project worked

Vesting and rewards were mapped to users and product timelines across more than two dozen projects.

I worked on token designs for more than two dozen projects, and each one started from who the project served.

A wall of 24 vaults in six columns, one for each kind of project: data, trading, infrastructure, mobile, gaming and agents. Each column's dials are set to its own example pattern, and as time passes each kind releases tokens to its community, team and investors in its own order until all three are served.
$500M+
platform TVL
24+
projects designed
3
groups each design served
Its own
release order per kind of project
Case Studies

Context

Largest token investing platform in the Solana ecosystem at the time, managing over $500M in TVL. Worked on tokenomics strategy and incentive design for more than two dozen projects spanning data products, trading systems, infrastructure, mobile apps, gaming, agentic tools, and stranger Web3 experiments.

Problem

Many teams treated tokenomics as a branding layer or copy-paste template. Vesting schedules, emissions, and incentive programs often ignored who the system actually served, what the product really did, and how wild crypto market regimes can be.

Approach

I started each project by distinguishing the risk profiles of founders, early users, community members, investors and contributors. We defined the behavior or utility the token was supposed to enable, then designed vesting, emissions, rewards, governance and communication that could adapt across bull and bear conditions. We designed incentive maps, vesting and token-release schedules, and communication frameworks that acknowledged attention as a priced asset without pretending memes were fundamentals.

Stack

  • Solana ecosystem infrastructure
  • Token vesting and reward mechanisms
  • Simulation and scenario analysis
  • Dashboards and written briefs

Result

24+
projects with token-design work

Projects moved from one-size-fits-all token models to designs that better matched their actual users, product timelines, and engineering realities. Teams had clearer playbooks for how incentives would behave when volatility, liquidity, or sentiment shifted.

Impact

Working across a broad portfolio sharpened my sense of which token models hold up under real trading pressure and which ones break the first time incentives shift. It also forced me to translate obscure mechanics into language communities could rally around without misleading them.

Lessons

In crypto, attention has a dollar price attached. Token incentives can reward the wrong behavior or collapse under stress when their design ignores who holds the token, what it enables and how its rules operate.

Who this is for

For founders, DAOs, and platforms who want token designs that can survive multiple market regimes and still make sense to the people who actually hold and use them.

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