Federico Gozzi

Building products at @Deel. Writing about PM, AI, and how teams actually ship things that matter.

[Federico Gozzi @FedericoGozzi0]

Firs time trying @FlowbyGoogle

I gave 2 pictures and a short prompt.

I'm curious to know from people who are using it tips on how to get the best results 🙂

[Federico Gozzi @FedericoGozzi0]

Proud to be part of this!

[Alex Bouaziz @Bouazizalex]

Every summer, Arsenal's players scatter across the globe. Every new season, they come back as one squad.

That's the idea behind The World Is Your Squad, our new campaign with @Arsenal. Featuring legends from the men's and women's squads.

It's the perfect reminder of what we build at Deel every day: the tools that let high performing teams come together from anywhere in the world.

Proud to partner with the Premier League champions 🏆 #COYG 🔴⚪️

[Federico Gozzi @FedericoGozzi0]

“Management is the natural next step for a senior PM.”

I’m not sure it is anymore.

Some of the best PMs I know want to stay close to the craft, while taking on bigger problems and helping others grow.

Maybe progression doesn’t have to mean moving away from the work.

[Federico Gozzi @FedericoGozzi0]

“We need more data.”

Sometimes that’s good product judgment. Sometimes it’s a very convenient way to avoid making a decision.

The trick isn’t getting more data. It’s knowing what you actually need to learn, how to learn it, and what you can keep building while you do.

[Federico Gozzi @FedericoGozzi0]

The Power of answering a customer in under 10 minutes is immense, and when you manage to extend it also internally to your colleagues, it allows you to move faster then ever.

[Dan Westgarth @DanWestgarth]

Last week, we announced Deel crossed $1.5B ARR. It's been an unbelievable seven years.

I wanted to share how I think we got here, what it has meant for my role, and why AI is supercharging the next growth curve: https://t.co/xedrqrKwAe

[Federico Gozzi @FedericoGozzi0]

Such a long way to go

[Federico Gozzi @FedericoGozzi0]

You quick access up, yesterday vs today

[Federico Gozzi @FedericoGozzi0]

Time for Akai!

[deel @deel]

Reviewing expenses. Reconciling accounts. Running compliance checks.

Most AI tools handle that the same way every time, but Akai doesn't.

Deel's agent platform for operations gets faster and cheaper at these tasks every time it runs.

[Federico Gozzi @FedericoGozzi0]

This is how you manage incidents

[Anthropic @AnthropicAI]

In a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations.

Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews.

We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security.
https://t.co/dKFCdpKd9v

[Federico Gozzi @FedericoGozzi0]

We want more of this! 🤖

[Google AI @GoogleAI]

For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand.

Today, we take a major stride toward making that dream a reality:

Introducing Gemini Robotics 2 from @GoogleDeepMind, the intelligence layer powering the next generation of truly adaptable robots. This major advance unlocks intelligent whole-body control, advanced dexterity, and even multi-robot collaboration 🤯.

Ok but... how does a robot actually "think"?

Real-world tasks take time and planning. To manage that complexity, our new embodied reasoning model, Gemini Robotics ER 2, acts as the robot’s high-level brain, enhancing the robot’s capabilities to:

— Observe the environment
— Reason about the actions needed to complete the task
— Coordinate with the vision-language-action model to carry out actions
— Track progress until the job is done

This setup allows robots to execute complex multi-step workflows, self-correct if a step fails, and adapt to completely novel situations.

Learn more about Gemini Robotics ER 2 (and our two other brand new models) here: https://t.co/1YEpoYAhww

[Federico Gozzi @FedericoGozzi0]

The solo builders and small teams who woke up one day and realized the thing they'd been waiting on permission to build, they could just build it are the people I find most interesting right now

[Federico Gozzi @FedericoGozzi0]

@1davidyu1 I foresee a new job coming up, the scanner!

[Federico Gozzi @FedericoGozzi0]

How will you look after 10 years of product management?

I've asked Grok and Gemini, here the results!

[Federico Gozzi @FedericoGozzi0]

Humanoid robot crashes on stage. Demo day never forgives!

[Culture Crave 🍿 @CultureCrave]

Robot powered by Qualcomm’s new AI chip dies mid-presentation 😭

[Federico Gozzi @FedericoGozzi0]

@krispuckett Beautiful 🏔️

[Federico Gozzi @FedericoGozzi0]

we just raised $30M

I did not. But haven’t you also read this so much?

Remember that what you see is just like the few ones that really make it.

Don’t let this demotivate you.

[Federico Gozzi @FedericoGozzi0]

In the past few days, X has been joined by:

Mark Zuckerberg
Jensen Huang
Bernard Arnault

X is really becoming the global town square!

[Federico Gozzi @FedericoGozzi0]

@carrabre @carrabre the animation is 🔥

[Federico Gozzi @FedericoGozzi0]

We do overthink when it comes to solving tasks with AI, because that's how problems used to be solved in the past!

[Rohan Paul @rohanpaul_ai]

"How do people learn to use Claude Code like Boris?"

Claude Code creator Boris Cherny (@bcherny ) was asked by Diana Hu ( @sdianahu ) at Startup School 2026.

Boris Cherny: "Maybe don’t listen to the LinkedIn influencers.

The thing about the model is that everyone is looking for one weird trick to make it work, but that simply doesn’t exist. There is nothing like that.

You have to approach the model empirically. Give it a task that is too hard. Give it the tools to verify its work, just as you would use those tools yourself if you were doing the task.
See where it struggles, and then fix the problem with better prompting, a skill, or if the model is missing context, an MCP connection that allows it to retrieve the context it needs.

That is basically it.

It sounds very simple. I think people tend to overthink and overengineer it because, in many ways, that is how we had to build systems in the past."

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From "Y Combinator" YouTube channel, (full video link in comment)

[Federico Gozzi @FedericoGozzi0]

When LinkedIn experience goes too far 🫠