11 people take down half the market, what does Hyperliquid rely on?

CN
57 minutes ago
The moat is never written in the code.

Written by: Clow

In early 2025, over 70% of the on-chain contract trading market volume operated on the same protocol—Hyperliquid.

Later, a bunch of competitors that raised hundreds of millions in funding started subsidizing aggressively, causing that number to drop to around 50%. But even so, half of the market was still in its hands.

Even more outrageous is the team that accomplished this. The core members of Hyperliquid Labs consist of only 11 people, with daily fee revenues exceeding $1 million, and an annual cash flow on par with the Nasdaq exchange.

11 people, in comparison to a publicly listed company with nearly 10,000 employees. On average, each person generates over $90,000 in income for the protocol each day.

This project has never taken a cent from venture capital. No Paradigm, no a16z, and no institutional logos on its official website.

What it does isn’t complicated, and can be summarized in one sentence: it turned a top-tier high-frequency market maker into a blockchain.

Embedding the trading engine into the foundation

Most on-chain derivatives exchanges take the approach of "renting"—operating on general-purpose public chains like Ethereum or Solana, relying on others' infrastructure, confined by others' speed and fees. Hyperliquid goes against the grain, building a dedicated chain from scratch that serves only trading.

How fast is this chain? A transaction takes only 0.2 seconds from initiation to irrevocably being written to the ledger, faster than a blink. And once confirmed, it's as solid as a rock; there won't be instances of transactions being retracted or people jumping ahead in line.

But speed isn’t the key point. The real brilliance lies in how it splits the system into two.

On one side is the core trading engine HyperCore, which does one thing: match buy and sell orders, manage margin, and handle liquidations. It runs no unnecessary programs and can process 200,000 orders per second. On the other side is HyperEVM, an open development platform where anyone can build applications like lending and wealth management.

The key is: these two sides are completely isolated. If there's a security breach on the open platform, even if a hacker breaks in, they cannot touch a single cent in the core trading engine. Conversely, even if the open platform becomes congested, it won't slow down the order matching.

In simple terms, while others are renting space on Ethereum to open shops, Hyperliquid built its own building, embedding the safe directly into the load-bearing wall.

HLP: You can copy the code, but you can’t steal the risk control algorithms

The liquidity of traditional exchanges relies on external market makers—those institutions that specifically provide buy and sell quotes, like Wintermute and Cumberland. If the platform doesn’t have their orders, users can't buy when they want or sell when they wish. But the problem is, when the market collapses, these institutions pull their orders and run, leaving the exchange as a shell.

Hyperliquid's solution is called HLP, which is simply a "market-making fund operated by the protocol itself." Anyone can deposit USDC into it, with funds algorithmically distributed to automatically place buy and sell orders on all trading pairs.

It doesn't passively wait for trades like traditional DeFi pools. HLP actively attacks, with algorithms placing and withdrawing orders and adjusting positions across the entire exchange; profits come from transaction fees and bid-ask spreads.

When the exchange first launched, without liquidity it couldn't attract traders, and without traders, it had no liquidity. HLP managed to create both simultaneously.

But the truly irreplaceable part of HLP is not the mechanism design, but the people behind it.

Founder Jeff Yan graduated from Harvard, majoring in Mathematics and Computer Science, and won a gold medal representing the US at the International Physics Olympiad in high school.

His core team previously operated a quantitative trading company called Chameleon Trading, starting with $10,000 in Puerto Rico in 2019 and achieving financial freedom through algorithmic trading in the crypto market. The market-making algorithms and risk control models of HLP are the crystallization of their years of practical experience, and they are not open-sourced, so the outside world cannot see them.

A new project can replicate Hyperliquid's code exactly. But it cannot replicate the pricing models and liquidation parameters that a quantitative team has refined over many years.

The global crypto market crash in October 2025 served as a real-world test. Hyperliquid absorbed over $10 billion in liquidation positions with zero downtime and zero bad debts.

97% is used for buybacks and burns, these people are serious

The economic model of the HYPE token is perhaps the most aggressive in all of DeFi.

97% of the platform's fee revenue flows into a pool called the "assistance fund," and the system automatically uses this money to buy HYPE tokens on the market every day. No voting is needed, there is no time limit, just purely programmatic execution.

As of the end of April 2026, cumulative buybacks exceeded $1.1 billion, with approximately $1 billion of HYPE permanently burned through voting in December 2025.

They buy back and then burn; the tokens available in the market become increasingly scarce. The corresponding annualized deflation rate is about 7%, which is 4.6 times the destruction rate of Ethereum and 5.8 times that of Binance BNB.

As long as the platform has trading volume, the circulating supply of HYPE shrinks every day. An unceasing deflation machine.

Hyperliquid's ambitions extend beyond being an exchange.

It has launched four standard protocols (HIP-1 to HIP-4), allowing anyone to issue tokens on-chain, launch contract trading pairs, and even create derivatives for US stocks, gold, and SpaceX pre-IPO equity.

The goal is clear: to become the operating system for on-chain finance. In October 2025, Coinbase acquired the financing platform Echo in its ecosystem for $375 million, essentially endorsing this route by a traditional compliance giant.

But doesn’t anyone think this is problematic?

The flip side of HLP’s coin is that when it is forced to take over those toxic positions during liquidation, all depositors lose together.

If prices are manipulated or a lesser-known asset is maliciously dumped, leading to a chain liquidation, the net value of HLP could suffer an irreversible crash. Once retail investors panic and withdraw their funds, the trading quotes on the exchange become thin, and the positive liquidity flywheel can reverse into a death spiral.

Hyperliquid has also stepped into pitfalls. An early launched "copy trading vault" feature allowed star traders to pull retail investors to join. As a result, the retail investors rushed in at the peak of the skyrocketing profit curve, and collectively suffered huge losses when the strategy failed. The team later decisively removed the social feature, reverting to a pure professional trading terminal.

There is another more fundamental issue: full transparency.

Every trader's position size, cost price, and liquidation price on Hyperliquid are all publicly available on-chain in real-time. This is equivalent to drawing a precise "liquidation map" for all arbitrage institutions. Whales with ample capital can deliberately crash prices in other markets, accurately triggering visible liquidation lines on-chain and creating chain liquidations to profit.

This is precisely the angle that newcomers like Aster DEX have tapped into: hiding orders, invisible liquidation prices, and attracting large capital with privacy. If you open a large position on Hyperliquid, the whole world can see when you will be liquidated. If you managed a fund worth tens of millions of dollars, would you be willing?

Conclusion

So far, Hyperliquid’s depth and anti-manipulation mechanism have largely withstood this transparency vulnerability. As for how long it can hold, nobody knows.

Latecomers can replicate the code, subsidize users, and tell better stories. But achieving the simultaneous reconstruction of a dedicated chain, a top-tier quantitative risk control algorithm, and a deep liquidity network that allows large capital to publicly hold positions remains unmatched.

The moat is never written in the code.

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