Marlon Espinosa

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[Marlon Espinosa @marlonepz]

@XGRIDS_OFFICIAL Hacked?

[Aaron Burnett @aaronburnett]

I don’t think he necessarily expected Cursor and Grok Bot. But it sure does feel like he hit the nail on the head 4 1/2 months ago.

[ℏεsam @Hesamation]

reading this exactly 9 years later.

[Marlon Espinosa @marlonepz]

@_asadmemon Congrats

[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.

[Banco Azteca @BancoAzteca]

En Banco Azteca apoyamos el talento joven y la innovación con propósito 🚀💡 ​
En @TalentLand_MX, nuestro reto de hackathon reunió a más de 70 equipos y más de 300 jóvenes en la convocatoria 👏 ​
Los finalistas fueron FinaMente, RAIS y Tomin, que resultó ganador 🏆🎉 ​
Gracias a Aprende y Crece y a @NucleaSolutions por acompañar como mentores 🤝✨

[Chris @everestchris6]

this OpenClaw bot finds warehouse owners & books them solar deals on autopilot...

here's how solar business owners can use it to close $500k+ commercial installs:

- scans 1000s of warehouses via satellite imagery
- scores every roof by size, sun hours & payback
- pierces the LLC to find the actual human owner (not info@)
- renders their building with panels on it + 25-yr savings
- ships them a personalized microsite at their company name
- follows up across email, sms & linkedin
- books calls straight to the calendar 24/7

reply "SOLAR" + RT and i'll send you the full breakdown of how you can do it too (must be following so i can dm)

[Marlon Espinosa @marlonepz]

@everestchris6 SOLAR

[FlutterFlow @flutterflow]

Nuclea Solutions built a full ERP in FlutterFlow.
CRM. Accounting. Contracts. Inventory. AI integrations.
Tasks that used to take hours? Minutes now.
One team. One platform. Zero excuses.

Full breakdown of how they built it →
https://t.co/LHMvgwXoqF

[Marlon Espinosa @marlonepz]

@Picker_ArielMx ¿En qué consiste ese análisis?

[Marlon Espinosa @marlonepz]

@Picker_ArielMx Hola Ariel, intenté mandar un mensaje por medio del formulario de contacto (https://t.co/LFFFBI0InQ) desde mi teléfono y no responde. Me interesa hacerte una propuesta para actualizar tú página y que así refleje lo que en realidad son.

[Marlon Espinosa @marlonepz]

@comma_ai @adeebshihadeh LFG!

[Marlon Espinosa @marlonepz]

@chesterzelaya Congrats bro!

[Google DeepMind @GoogleDeepMind]

World models are a key stepping stone on the path to AGI, promising unlimited rich simulations for training AI agents. Genie 3 represents a significant leap forward in making this a reality.

We’re providing early access to a small cohort of academics and creators, while exploring how we can make it available to more trusted testers in the future. → https://t.co/6LjAcx0l1K

[Marlon Espinosa @marlonepz]

@MickyAbir @FlybyRobotics Nice and steady

[Marlon Espinosa @marlonepz]

Massive

[Sawyer Merritt @SawyerMerritt]

NEWS: SpaceX says a new @Starlink update means that the internet will keep working even if trees or other obstacles partially block your home’s view of the sky.

"As a Starlink terminal communicates with satellites overhead, it continuously builds a real-time obstruction map, allowing Starlink to dynamically understand its environment. With this information, it can proactively select the best and most stable connection. For dynamic obstructions, such as are encountered by mobile terminals, the system reactively switches in less than 1/10th of a second, allowing a connection to remain stable. The dynamic nature of Starlink combined with the many paths for the system to route traffic provide a high degree of resiliency in obstructed and changing environments.

Additionally, to help customers get the most out of their service, the Starlink app includes a built-in tool to preview the install location and guide customers to the best placement with the fewest obstructions. After setup, the Starlink app provides a live obstruction map that shows exactly where signal blockages are occurring and how they may affect your experience, so that users can make informed decisions about optimizing their installation. Starlink also measures uptime 10 times a second from every terminal, transparently reporting any outage that is longer than 1/10th of a second in the app. For well-installed, even partially obstructed terminals, this uptime is typically at the 99.9% level."

[Marlon Espinosa @marlonepz]

@Alpha10six Very nice man!

[Marlon Espinosa @marlonepz]

@solobeto278 @NARIZROJAAC Nariz Roja es una asociación que ha salvado miles de vidas, te invito a investigar antes de suponer o a contribuir con una fracción de la labor social que han hecho.

[Marlon Espinosa @marlonepz]

@chesterzelaya @droneforge Let’s go!

[Marlon Espinosa @marlonepz]

@Alpha10six ZED from Stereolabs