The 11 Person Billion Dollar Company
The SunDAO Protocol Company Thesis
Recently I saw a statistic that made me pause.
Hyperliquid, a crypto derivatives DEX, reportedly generates more than $1 billion in annual revenue with only 11 employees. That works out to roughly $100 million per employee.
When you first hear that number, it almost sounds fake. But the more you think about it, the more it reveals something important about where technology and business models are heading.
Hyperliquid isn’t really a company in the traditional sense. It’s closer to a protocol with maintainers. Once the system is built, most of the work is done by code. Matching engines, settlement, liquidation, fee routing, all of it happens automatically. The team isn’t running operations in the way a traditional exchange would. They’re maintaining infrastructure.
And infrastructure behaves very differently from organizations.
For most of modern economic history, output scaled with people. Factories needed workers. Banks needed staff. Consulting firms needed armies of analysts. Even in tech, companies eventually turned into large organizations. If you wanted to serve more users, you hired more engineers, more support staff, more operations teams.
Crypto quietly broke that relationship. Protocols don’t scale like companies. Once deployed, they can run globally with almost no marginal cost.
Uniswap doesn’t hire traders. Ethereum doesn’t hire settlement teams. A DEX doesn’t hire market operators. The system itself performs those functions.
What the team actually does is something different. They design the rules.
This is the part people often underestimate. In traditional companies, management is the central activity. In protocol systems, design is the central activity.
Designing incentives.
Designing economic structures.
Designing mechanisms that allow the system to sustain itself.
Once the design works, the system becomes strangely autonomous.
Liquidity providers bring capital.
Traders bring activity.
Developers integrate APIs.
Users generate network effects.
The protocol becomes less like a company and more like an economic organism. The team becomes something closer to gardeners than operators.
The interesting thing is that crypto might just be the first wave of this phenomenon. AI is about to amplify it.
If crypto removes operational overhead, AI removes a huge portion of labor. You can already see it happening. A single developer can now build products that previously required a team of ten. Small groups can launch products, write documentation, generate interfaces, and run infrastructure with tools that didn’t exist two years ago.
Combine AI + crypto infrastructure, and something strange happens. The organizational footprint of a company starts collapsing. You no longer need a large organization to create global impact. You just need a well-designed system.
This is why I increasingly think the most interesting companies of the next decade won’t look like companies at all. They’ll look more like protocols with small teams around them. A few builders. A large network. And a system that runs continuously in the background.
The founders are not scaling a company. They are deploying infrastructure.
Of course, the $100M per employee numbers we see today are probably not permanent. As industries mature, competition compresses margins. That happened in Web2 as well. But the structural shift is real. We are entering a world where small groups of highly capable people can build systems that scale globally. Not because they are superhuman. But because the systems they design do most of the work.
At SunDAO, we sometimes describe venture building as a kind of alchemy. Turning small inputs into disproportionate outcomes. Crypto protocols are one of the clearest examples of this.
A handful of builders write code. And that code coordinates billions of dollars in economic activity. That’s an entirely different form of leverage.
The SunDAO Protocol Company Thesis
At SunDAO we often frame this shift through what we call the Protocol Company Thesis.
Traditional companies scale by hiring people to perform functions, sales teams generate revenue, operations teams run processes, analysts manage risk, and managers coordinate everything. As the company grows, complexity grows with it.
Protocol companies work differently. Instead of organizing people, they organize rules. Instead of scaling through hiring, they scale through systems.
Once a protocol is deployed, participants around the world bring their own resources into the network, liquidity, development, capital, distribution, and attention. The system coordinates these contributions through incentives embedded in code.
The organization itself can remain small because most of the activity happens outside the company but inside the protocol. In that sense, the protocol becomes the real company. What the builders are doing is not just launching a product. They are designing an economic system that others can plug into.
Hyperliquid’s 11-person team isn’t the final form. It’s just an early signal. The real shift is deeper. The next generation of companies will not scale primarily through hiring. They will scale through systems. And the founders who understand how to design those systems will end up building things that look almost impossible from the outside.
The next billion-dollar company might not have 11 people. It might have five. Or three. Or, eventually, just one.