Mitch

AHF runs an automated TQQQ ↔ $SGOV/ DBMF rotation. Five separate signals blend into a single state: risk-on (full TQQQ) or risk-off (defensive sleeve). One position decision per day, end-of-close. The point isn't beating SPY. It's stepping out before the drawdown.

CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI. So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents. “Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues. “Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with. The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.

Anthropic onboarding day: Michael Scott introducing Karpathy like he just signed Wemby in free agency.

@Notbullnorbear This is the way. I pretty much rewrote my whole system in a weekend with improvements, experimentation frameworks, promotion of new ideas, dashboards/reporting, etc.

@theo Something has to open these markdown files! /s

You guys still use IDEs?

@signulll Having very much done both.. VP at bigco is like being at a 5 star resort with a lot of annoying mosquitos Founder is like being on a remote island with a 5% possibility of a tsunami at any given time Pick your poison

@Notbullnorbear Real

@Notbullnorbear Ok, fine. I can help there too.

Almost like… they’re hedging. Crazy!

@Notbullnorbear That’s a typical one day low to high in Denver. I’ll snuggle you if you want.

@ProBowler007 @DJ_CURFEW I love that you’re the first reply I see and that’s the message LOL

@DJ_CURFEW Who TF is ClickUp

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.

It is very interesting to see the difference in rhetoric from the major labs that reflect their politics: Dario: AI is going to provide more value than you can and you WILL be left behind. Jensen, Altman: AI is going to fundamentally shift your job to more valuable work.

And... just like that, target achieved 🎯

Naval Ravikant: The one word that caues every tech revolution.

@MikeBernard94 This discord room posts the daily signals automatically and you can potentially act on them even quicker than Autopilot since many brokers now offer 24/7 trading of ETFs. Autopilot won't execute in your account until next day RTH open of the US market.

@mitchcomardo Hi! Since I’m an european investor I can’t automate with Autopilot. What do you suggest?

Week Ending 05/15/26 Roundup The AHF portfolio remains RISK-ON; A couple of red candles this week has started to move us back towards a reasonable rolling one month return level. YTD Modeled Return:

Babe, wake up a new optimization candidate just dropped

@BookswithNimesh @readswithravi @bgurley It's great - highly recommend even for someone accomplished in their career and looking for something "more". Highly recommend his podcast w/ Chris Williamson too: youtube.com/watch?v=AauiUX…

@mitchcomardo @readswithravi @bgurley how is this one so far?

What are you all currently reading?

Next week we'll look for a bit more pullback to buy back in unless the portfolio signals flip at which point we will fully derisk the portfolio. If you want to follow the action live you can auto-trade it via auto-pilot or join the conversation on Discord. Links in bio.

YTD actuals: