Fractional Tokenomics Modeling Expert
Budget: £750 – £1,500 GBP
I’m finalising the go-to-market plan for a project that issues both utility and security tokens, and I need a seasoned Token Economist who can join on a fractional basis to build out the full tokenomics model.
Your task is to turn our vision into numbers: define the initial strike price, project supply-and-demand curves, and design staking and return mechanisms that hold up in a bull market. Real-world experience is essential—I want assumptions that reflect lived data from comparable protocols, not just textbook theory.
Staking is still open for debate, so please model at least two options: a classic fixed-period approach and an automated compounding variant. Show how each affects liquidity, user incentives, and treasury health over time. Because the project spans both utility and security tokens, compliance nuances, lock-up schedules and distribution caps must be baked into the model from the start.
Deliverables
• A dynamic spreadsheet or Python notebook that lets us adjust key inputs and instantly see the impact on supply, price and yield
• A concise memo (≈5–10 pages) explaining every assumption, mathematical step and GTM implication
• Sensitivity analyses that reveal where the model breaks if sentiment shifts away from the current bull outlook
• One walkthrough call with the core team to ensure we fully understand and can defend the numbers
If your previous work includes dual-token structures or staking systems with automated compounding, please mention it—seeing a live sample or anonymised excerpt will speed up selection.
Your task is to turn our vision into numbers: define the initial strike price, project supply-and-demand curves, and design staking and return mechanisms that hold up in a bull market. Real-world experience is essential—I want assumptions that reflect lived data from comparable protocols, not just textbook theory.
Staking is still open for debate, so please model at least two options: a classic fixed-period approach and an automated compounding variant. Show how each affects liquidity, user incentives, and treasury health over time. Because the project spans both utility and security tokens, compliance nuances, lock-up schedules and distribution caps must be baked into the model from the start.
Deliverables
• A dynamic spreadsheet or Python notebook that lets us adjust key inputs and instantly see the impact on supply, price and yield
• A concise memo (≈5–10 pages) explaining every assumption, mathematical step and GTM implication
• Sensitivity analyses that reveal where the model breaks if sentiment shifts away from the current bull outlook
• One walkthrough call with the core team to ensure we fully understand and can defend the numbers
If your previous work includes dual-token structures or staking systems with automated compounding, please mention it—seeing a live sample or anonymised excerpt will speed up selection.