Tokenomics.net

$AERO tokenomics explained in 10 minutes. 🧵

@aeroxyz is the main exchange on Base, and it is in the middle of merging with Velodrome into one protocol called Aero. Traders paid it $133.2M in fees over the last twelve months.

Every dollar of the $95.8M it kept went to token holders.

It works only if you lock your tokens for up to four years.

If you don't, you get nothing and you're diluted about 10% a year.

New partnership announcement: @Tokenomicsnet and @deciphrfi.

Two weeks ago, we both realized two key points:

1. You can have the best token configuration in the beginning, but no way to measure performance means you’re flying blind.

2. You’ll stare at a dashboard of red if you don’t do the proper due diligence.

That’s exactly why we created the partnership.

Would you ever fly an airplane blindfolded?

Nearly every project is operating its token that way.

Would you take off without checking the landing gear or engines?

Everyone wants to build, but nobody wants to research and plan.

Both pieces above are critical to giving a project a chance of success in this market.

And once you’re in the air, you need to know how much fuel you have left.

@deciphrfi brings treasury, accounting and reporting together so teams can see where their funds are going and how long they can keep building, with less time spent piecing the numbers together.

Because if we have planning and detailed insights always at our fingertips?

That’s got to be a strategic advantage in a game of high chance!

👉 Follow @Tokenomicsnet, @TonyDrummond and @deciphrfi to stay tuned.

Thinking about tokenizing a business, asset or financial product?

Before you build it, we want to answer three things:

1. Should this be tokenized at all?
2. Do the business and economics actually work?
3. Can legal, finance, development and marketing all build from the same plan?

That's what the @Tokenomicsnet Data Room is designed to solve.

From early idea → validated, modeled and documented plan in 4-6 weeks.

If you're actively exploring tokenization, talk to us before you start building.

Every established business has a second list.

Not the to-do list.

The “we should really do this someday” list.

The customer portal nobody had time to build.
The follow-up system that would require another employee.
The reporting you wish existed.
The internal tool everyone talks about.
The new service customers keep asking for.

Most of those ideas weren't bad.

The economics were.

Too expensive.
Too many people.
Too much development.
Too much time.

AI has changed that math.

So here's a worthwhile exercise:

Pull the list back out.

Some of what's sitting on it may suddenly make business sense.

Every financial model contains assumptions.

The dangerous ones are the assumptions nobody realizes they're making.

- Adoption.
- Demand.
- Pricing.
- Revenue.
- User behavior.
- Liquidity.
- Growth.
- Costs.

Tokenized systems add another layer because those assumptions can affect one another.

That's why our work doesn't stop at:
“Here's the model.”

We want to know:
What has to be true for this model to work?

And:
What happens if it isn't?

That's where financial modeling becomes decision-making.