Mintonomics

Mintonomics

If you can't simulate it,
you didn't design it.

Most token mechanisms look good in a deck and fall apart in the real world. Mintonomics is the simulation layer between your idea and your TGE.

I'm building a token I'm evaluating one

A short history of trust

Every era of money solved one problem
and introduced another.

2008 Bitcoin proved digital scarcity exists But nobody simulated what happens when mining centralizes.
2017 ICOs proved anyone can raise capital But most mechanisms were copy-paste. 90% failed because nobody stress-tested the economics.
2020 DeFi proved liquidity can be programmable But yield farming hid who was extracting value - until the music stopped.
2024–26 AI-tokens proved narrative can front-run mechanism design 12 of 14 launches are down 50%+ from ATH. Every one skipped adversarial simulation.
Now The simulation age: design, test, stress, then ship Mintonomics is the simulation layer. Know what breaks before your users find it.

The three failure modes

Tokens don't fail because the idea was wrong.
They fail because nobody asked the right questions beforehand.

01

Who extracts value?

Every mechanism has a winner and a loser. If you didn't simulate both, you don't know who's who. We model every actor - cooperative users, rational extractors, and coordinated attackers - then show you who wins under each scenario.

02

Where does it break first?

Supply schedules, redemption mechanics, oracle designs, incentive curves - every parameter has a stress limit. We sweep the parameter space and find the breaking point before the market does.

03

What happens when everyone acts in their own interest?

Whitepapers assume cooperative behavior. Reality doesn't. We simulate the adversarial case - collusion, extraction, manipulation - and document exactly how the mechanism holds up.

The process

From spec to simulation in under 48 hours.

You share your parameters Supply schedule, stakeholder map, utility design, oracle specs - whatever stage you're at
We run the simulation suite 3+ scenarios across 8 personas, parameter sweeps across the full range, adversarial stress-tests
You get the report Interactive charts, extraction limits, failure-mode analysis, decision document with data
You ship with confidence Token or no token - documented either way, with evidence, signed off

For founders

Stop guessing. Start simulating.

Most popular

Simulation report

$500 · per run

Upload your parameters. We run the full simulation suite. You get an interactive report in 24–48 hours.

  • 8 stakeholder personas modeled
  • 3+ scenario sweeps
  • Extraction limits identified
  • PDF + interactive web report
Order a simulation

Design pack

$3,500 · fixed price

Full mechanism design from scratch: spec, personas, simulation, adversarial test, decision doc. Delivered in 2–4 weeks.

  • 11-mechanism design catalog
  • Custom stakeholder mapping
  • Cross-sim convergence analysis
  • Decision document with data
Order a design pack

Research library

Free

Browse methodology, mechanism catalog, persona library, and case studies. Use it as a framework for your own work.

  • 11 documented mechanisms
  • 8 standard personas
  • AI-token launch case studies
  • Interactive explorables
Browse the library

For investors & analysts

Don't trust the whitepaper.
Trust the simulation.

8 personas

Full stakeholder modeling

We simulate every actor - not just typical users. You see who extracts value, who gets diluted, and where the mechanism breaks.

3–5 scenarios

Baseline to adversarial

Every report runs normal, stressed, and adversarial cases. No cherry-picking. No optimistic assumptions.

24–48h

Fast independent reviews

Order a simulation on any token mechanism. We deliver an interactive report with extraction limits and failure-mode analysis.

Evaluating a token? Request an independent simulation report. Request a review

Case study

How adversarial simulation caught a $9.4M oracle extraction
that the baseline model completely missed.

The muzix stablecoin design passed every baseline test. It wasn't until we ran the adversarial simulation that an extraction pattern emerged: a single publisher could manipulate the oracle and extract $9.4M while the peg stayed within 2 bps. The v2 slashing design closed it - proven in simulation before any code was written.

Read the full case study

The next cycle won't be won by narratives.
It'll be won by mechanisms that actually work.

Start with a simulation report, explore the methodology, or book a call.

Book a call Browse the methodology