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The $102M Per Employee Metric: Why Hyperliquid Is Currently The Most Efficient Company On Earth

hyperliquid has the potential to be even bigger than amazon because they are currently sitting in the absolute best position of any company on earth to ride the ai efficiency wave. while everyone else is distracted by token price and daily candles there is a much deeper game being played here that most people are completely missing.

i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself but with bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated.

the reason i am so bullish on the hyperliquid model is that they have managed to reach a billion dollar annualized run rate with just eleven employees. when you look at the math they are generating over one hundred million dollars in revenue per employee which completely eclipses titans like apple or nvidia.

the efficiency is unmatched but there is a hidden danger in how they are allocating their capital that could lead to a massive missed opportunity. right now they are plowing nearly all of their fees back into token buybacks to pump the price which is basically ponzi adjacent capital allocation.

amazon and google didn't become monopolies by buying back their own stock in the early days they became monopolies by buying assets and building moats. if hyperliquid wants to truly be the house of finance they need to stop burning cash on hype and start acquiring killer apps.

imagine if they took that billion dollars in revenue and bought a custody solution or a fiat on ramp or a lending protocol. they could build a financial conglomerate that rivals wall street with a team of less than one hundred people because ai allows a handful of elite developers to do the work of fifty thousand corporate staffers.

this brings us to the core of the ai efficiency thesis where small lean teams are actually in a better position than mega corporations. amazon has one point five million employees and if ai makes a developer ten times more productive amazon has a massive restructuring problem on their hands.

you can't just fire a million people overnight without facing union contracts and massive logistics chain collapses. hyperliquid has zero of that baggage because they are already operating at the theoretical efficiency ceiling of what is possible.

the absolute alpha right now is realizing that the legacy financial system is bogged down by thousands of people doing tasks that an autonomous agent can do in milliseconds. lean protocols are the ones that are going to inherit the earth because they can scale output without scaling headcount.

but here is the catch because even the most efficient protocols are still one hundred percent correlated to the volatility of the crypto market. if trading volume evaporates because of a prolonged bear market that revenue can drop from a hundred million a month to twenty million in a heartbeat.

this is why building a moat is the only way to survive the cycle and turn hyperliquid into a permanent fixture of global finance. a protocol that only exists to trade tokens is just a feature but a protocol that owns the entire stack of financial services is an empire.

i have built out the hyperliquid data layer because i see the institutional grade potential of what they are building but i also know that beliefs can be wrong. i have spent my life iterating to success and i have seen enough cycles to know that if you don't pivot your capital into real assets you get left behind.

the release of supply over the next twenty four months is going to put half a billion dollars of sell pressure on the market every single month. if they are just using protocol revenu[...]
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Moon Dev The $102M Per Employee Metric: Why Hyperliquid Is Currently The Most Efficient Company On Earth hyperliquid has the potential to be even bigger than amazon because they are currently sitting in the absolute best position of any company on earth to…
e to soak up that supply instead of building a moat they are just delaying the inevitable.

the real play is for them to become an acquisition machine and find the next pump fun or poly market and bring them into the ecosystem. by diversifying their revenue streams they can hedge against the volatility of trading fees and create a platform that users never have to leave.

it is the same reason google bought youtube and doubleclick because they knew they needed to own the attention and the data layer. hyperliquid already owns the execution layer but they are missing the pieces that make a financial ecosystem sticky for the long term.

i want to see them win because i think they represent the future of how companies should be built in the age of ai. eleven people running a multi trillion dollar volume protocol is a glimpse into a world where code truly is the great equalizer.

if you are still hand trading and hoping for a bounce you are playing a game that is rigged against you by the very efficiency i am talking about. the only way to compete is to automate your logic and build your own moat just like the protocols are trying to do.

we are at the beginning of a massive shift where capital efficiency is the only metric that matters anymore. the companies that recognize this and stop playing short term games with their token price are the ones that will be around in ten years.

as a trader i am always looking for the pivot and i hope hyperliquid finds theirs before they burn through another billion dollars. the opportunity is right there in front of them and the cash is sitting in the vault waiting to be used for something legendary.

the path from eleven people to the house of finance is paved with smart acquisitions not just buybacks and burns. i am going to keep building my systems and watching the data because that is the only way to stay ahead of the curve in this game.

the market will always reward efficiency in the long run even if the short term is filled with noise and hype. let us see if hyperliquid can actually become the amazon of finance or if they will just be another footnote in crypto history.

if you want to build alongside this movement you have to start thinking like an owner and stop thinking like a gambler. the real wealth is built by owning the systems that capture the flow not just by trying to predict the next candle.

i have put everything into my automated systems because i know that code is the only thing that doesn't sleep or get emotional. whether hyperliquid pivots or not my bots will be there to take advantage of whatever the market gives us.

the world is changing fast and the leanest teams with the best code are the ones that are going to come out on top. make sure you are on the right side of that equation before the mega corps realize they are obsolete
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Openclaw vs you has no chance

You are smarter than ai https://t.co/wbkcepv54w
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Don’t get distracted by openclaw

Claude code for trading is no joke https://t.co/Wv4TUyKMOn
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You knew it was a bad idea to trade by hand

But you did it anyway https://t.co/EFbaD1FAaK
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Openclaw cost you another months rent https://t.co/pgD0XaMCXR
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Every trade you place is a gamble https://t.co/f2SKa28QB8
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you promised

you promised yourself and your family that you would stop trading by hand

you know it resembles gambling

stop gambling and build the casino instead

this is your final chance to learn exactly how to automate your trading from me

everything closes on thursday

join here https://t.co/EHUr5azZs7

moon dev
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Anthropic: software sell off rational

Anthropic's head of applied AI, Cat de Jong, oversees a team focused on helping large companies weave Anthropic's AI into their products. At a press briefing with Thomson Reuters on Monday, she said that people inside Anthropic have seen the market sell-off as rational due to the pace of progress.

"The rate of change is just so incredible, and I think the market is really starting to see this now," she said.

"We're grappling with exponentials, and it's something that humans just aren't really used to having to deal with — how quickly things change. And I think that's actually been why the market has been responding the way that it has been, for us internally."

That said, the sell-off does not account for how Anthropic's work with software companies helps improve their products rather than compete directly with them, de Jong said.

"We want to build the best models in the world," de Jong said. "But I do really think there's a great relationship between general models and domain-specific applications, and our models help them get better."
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Your strategy isn’t broken

It’s just not tested https://t.co/zNJwLg6Wjn
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You’re not losing money

You’re paying tuition to your emotions https://t.co/7WtGDvsbAs
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