CrabCapitalist

@Jason Total lack of follow through. In fact he’s done the opposite. I would also note that he said Green Card, not Gold Card in the video…how disappointing!

Yes! More green cards for extremely talented immigrants! Strongly agree President Trump 🫡

@PlusEVAnalytics 17,964.5 = the number of insider trades Donny Boy is shooting for before midterms 😉

That's my quant

Of Trump’s 3,711 stock trades this year, about 60% of them have occurred within 1 trading day of a major macro/market event. Pretty incredible. He’s front running economic data - best to ever do it

@busigos @MomsPostingLs @ashtonteng This is what you sound like youtube.com/shorts/fjZZzEH…

@crabcapitalist @MomsPostingLs @ashtonteng Scarcity is a material fact of life. It is a fact that capitalism is predicated on. The limitations of supply for any given demand determine value. The “system” in question was created by Americans for their posterity, not for the whole world.

You live in a country of unlimited, Unbound, unprecedented opportunity. It is the opportunity to be great that was granted by the system, and the system of capitalism responds when you take advantage of the opportunity you’ve been given.

@crabcapitalist @MomsPostingLs @ashtonteng “Just compete with all 8 billion people in the world for a life in your own country your ancestors built for you” How about you go compete in India or some other shithole.

@MomsPostingLs @ashtonteng YOU are the problem! Try harder. Do better. Stop LOSING like a babyback BITCH. Be competitive. I AM from middle America. I work with several immigrants. They produce exceptional work product. I work hard every day to compete with them. It’s not their fault you can’t. 😘

@ashtonteng You came to the US and got prioritized over US citizens. You then took a job from US citizens. Enjoy eating pad Thai in your homeland.

@bluedragonda3rd @ashtonteng @menhguin YOU are the problem! Try harder. Do better. Stop LOSING like a babyback BITCH. Be competitive. I AM from middle America. I work with several immigrants. They produce exceptional work product. I work hard every day to compete with them. It’s not their fault you don’t can’t. 😘

@ashtonteng @menhguin I’m not from middle America, I’m a SF Bay Area resident. We don’t want you here. Your F1 to OPT to H1B was a big abuse of the system. You’re supposed to sent back once you’re done with your studies, the point of F1 is to allow third worlders such as yourself to learn from us and

@DHSgov Do you realize that you are the bad guys now?!

An alien who is in the U.S. temporarily and wants a Green Card must return to their home country to apply. This policy allows our immigration system to function as the law intended instead of incentivizing loopholes. The era of abusing our nation’s immigration system is over.

@SamRo I think you mean concentration…

Exposed to all these names and SPX is still up 9%. Diversification is a miracle

@Mr_Derivatives Bears (people with brains) have been killed by 1) passive index concentration 2) momo bros 3) 0DTE apes. Casino markets for the last 12 weeks (and last 5 years for that matter).

The $SPX has not seen a red week in two months (8 straight weeks). Getting dangerously close to the 12 straight green weeks all time record. Bears, where are you. Hello…..?

@DJ_CURFEW Get fucked zebby

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why. First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it. Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands. Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition. I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively. THE 100X ORGANIZATION The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago. Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken. The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems. These roles will evolve. But waiting for that to happen naturally means falling behind now. The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working. THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS — THE BUILDERS: 10X ENGINEERS I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality. Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment. AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed. So who do you want orchestrating and reviewing code? And how do you want your best engineers to spend their time? If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code. The new world is about enabling your 10x engineers to become 100x. The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated. I call this the great reckoning of AI coding, and every company will face this soon if not already. More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well. — THE BUILDERS: 10X PRODUCT MANAGERS Product management and design roles are merging. Designers that have customer focus, become more like product managers. And product managers that have intuition for UX become more like designers. The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results. The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy. Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on. To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production. Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck. That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time. — THE SYSTEM MANAGERS Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp. The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world. You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is. — THE FRONT-LINERS In a world that will become saturated with AI communication, the human touch will matter more than anything to customers. This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings. One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers. REWARDING 100X IMPACT In a world where companies are able to do so much more with less, where does that excess money go? In our case, much of the savings in this new operating model will flow directly back to those that enabled it. We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them. You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace. Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems. THE FUTURE Nearly every company will make changes like these. The ones that do it proactively will define what comes next. The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago. ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

@johnarnold @DougKass Ben Graham has been spinning faster that a rotisserie chicken for about five years now

Benjamin Graham is turning over in his grave.

@ThierryBorgeat You are buying what @chamath is selling. Let 2022 be a lesson…

🚨YOU ARE THE EXIT LIQUIDITY You are about to be offered the most expensive IPO in modern history. SpaceX's S-1 just dropped. The headline numbers: - 2025 revenue: $18.7 billion - 2025 net loss: $4.9 billion - Q1 2026: still losing money - Reported IPO valuation target: roughly 90 times sales For context, the previous record IPO, Saudi Aramco, listed at 6 times sales. SpaceX is asking for fifteen times that multiple. With a net loss attached. Four things in this S-1 that should make you pause.

@negligible_cap So if I’m reading these tea leaves correctly you’re buying this shit out of it today

$INTU down 20% There were signs

@stevehou @Silicon_Data @carmenli Will probably feel rewarding to have someone as sophisticated as Chamath subscribed to your services 😉

🚨 After six incredible years at Bloomberg building index products and portfolio solutions, I’m happy to announce I’m stepping into a new role as Head of Research @Silicon_Data. I’m honored to join my former colleague @carmenli—one of the sharpest and hardest-working humans I know—and an exceptionally talented team. We are bringing standard benchmarks and financial derivatives to the physical market of AI compute, which now numbers over a trillion $ in planned expenditures. Last week, Silicon Data and @CMEGroup announced plans to launch the first compute futures. The stakes are high and there are risks in being both too aggressive or too cautious, as evidenced recently by Anthropic’s compute constraints. This is exactly what financial derivatives were meant to do: help measure, transform, and manage capital risks. Silicon Data is systematically collecting a vast amount of data across the entire AI value chain around the globe: GPU rental prices, model token prices, usage and expenditures, utilization metrics, data center bottlenecks, and token economics, just to name a few. Traded financial derivatives on AI data leverage wisdom of the crowd, bring about liquidity and price discovery, and provide builders and users of AI compute the instruments with which they can price their risks and plan their capital allocation. If you’re building AI infrastructure, running data centers, or wrestling with compute allocation, let’s talk. I’m excited to help solve one of the biggest missing pieces in the AI ecosystem. Let’s go! 🚀

Evercore published its token consumption demand model yesterday which has us going from 100 quadrillion tokens in 2026 to 4 quintillion in 2030. @SiliconData estimates GPT-4o Mini token cost of $10 / mil. tokens. So that 100 quadrillion token usage = $1t cost The entire COGS + SGA of the S&P 500 companies is $12.7t on a LTM basis (just ran it now in FactSet) and $11.1t ex-Mag 7. The $1t spend this implies an 8-9% increase in expenses, all else equal (which of course it won’t be). Historically, S&P 500 Companies have grown COGS + SG&A at ~5% / year (ex-recession shocks) avg since 2001. So, companies will need to cut 3-5% of costs as they launch AI just to break even. x.com/negligible_cap…

... and for folks claiming this was all a result of covid hiring, I think we're way beyond that now.

We're going to see a large number of new startups based on all these META layoffs... ... super talented people being cut because, well, AI is making folks twice as efficient, and a giant data center is considered a better investment than [ checks notes ], talented people.

@MacroCharts What is the end date on that chart?

The cost of protection is near the cheapest levels in history. *Is it sustainable? / What happens next?

@Crowded_Mkt_Rpt You know how no one SAID they voted for Trump in the polls and yet he got elected 2x?? Same principle applies here.

bubble?

@GunjanJS THE MARKET IS TELLING YOU THAT YHE EARNINGS ARENT SUSTAINABLE YOU DINGDONG

Nvidia's price/earnings ratio is near some of the **lowest** levels of past five years

@calvinfroedge I had voted Republican my whole life until 2020. Fool me once shame on you (orange piece of shit). Fool me twice shame on me.

Trump betrayed every single campaign promise, every single one And some of you are so corrupted or stupid you still simp for him