Amit

I am my onlyfan

[Amit @Amitmina]

@naval Most marriages are Co-founder without the sex

[Zeb Evans @DJ_CURFEW]

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.

[Amit @Amitmina]

@chamath If your only edge is controlling token traffic …

[Amit @Amitmina]

Enterprises buying AI are like your grandma getting an iPhone: they want to use it, but they need you to set it up.

[Amit @Amitmina]

@tejeshwi_sharma 100% scales exponentially . Agents will code in US and humans will code in India :)

[Amit @Amitmina]

@aaronrubin We have a a installed a new keyboard for developers that only has tab space and a mic

[Amit @Amitmina]

@karpathy Do you think its a better VP Engg / thought partner than a coding assistant? I get code below par code quality but sometimes I can get a new thought direction in alogrithm or architecture conversations ? Also a chain on conversation always beats a single md file

[Andrej Karpathy @karpathy]

I'm not very happy with the code quality and I think agents bloat abstractions, have poor code aesthetics, are very prone to copy pasting code blocks and it's a mess, but at this point I stopped fighting it too hard and just moved on. The agents do not listen to my instructions in the AGENTS.md files. E.g. just as one example, no matter how many times I say something like:

"Every line of code should do exactly one thing and use intermediate variables as a form of documentation"

They will still "multitask" and create complex constructs where one line of code calls 2 functions and then indexes an array with the result. I think in principle I could use hooks or slash commands to clean this up but at some point just a shrug is easier.

Yes I think LLM as a judge for soft rewards is in principle and long term slightly problematic (due to goodharting concerns), but in practice and for now I don't think we've picked the low hanging fruit yet here.

[Amit @Amitmina]

@hypersoren Best had to go to YC , now the best go to claude

[Amit @Amitmina]

@levie although, I dont think the costs have been lowered . you just need mor engineers to transition companies to AI because Ai happens to be all tech. Rewriting systems needs code. cost of engineers has not gone down.

[Amit @Amitmina]

@Grady_Booch Clearly people like mr cuban who got rich through software never made software

[Chayenne Zhao @GenAI_is_real]

The cycle is real. Vibe coders are essentially shipping high-entropy slop that requires 100x more compute just to stay functional.

When the "vibe" hits the wall of production latency, the world will realize that we need strong men who actually understand memory management and CUDA kernels to fix the mess. We are building SGLang to ensure that even in a world full of weak abstractions, the underlying inference stays robust. Back to the metal or enjoy the hard times.

[Amit @Amitmina]

Here is how to create this narrative “ oh look new product zoom . Now all meetings will be online . Business travel will die . Airlines will die . Hotels will die . Real estate die . We die “

[Amit @Amitmina]

@JesseCohenInv And he will say this next year

[Amit @Amitmina]

@MohapatraHemant He creates other standup comedians just like all inspiring entrepreneurs

[Amit @Amitmina]

@sbikh @deepigoyal Solution is simple . Pay gig workers more and pass on the cost to end customers . Make the elite pay more for a 10 min comfort .

[Amit @Amitmina]

@deepigoyal Solution is simple . Pay gig workers more and pass on the cost to end customers . Make the elite pay more for a 10 min comfort .

[Amit @Amitmina]

@WeekendInvestng He was polite

[Amit @Amitmina]

@ZikangJiang They moved to SF

[Amit @Amitmina]

@gurjota Does he not stay in golf links ?