Emprendedor de día, mariachi de noche. CEO en @GetPulpo_. Fui repartidor de tacos en SinDelantal. Andaluz.
Madrid - México
Joined June 2008
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Este artículo no va de fútbol. Va de independencia, de tener convicciones, de equivocarse por cuenta propia y de aprender a vivir sin necesitar la aprobación de todo el mundo. Y de por qué hay cosas de José Mourinho que me gustaría tener.
notas.evaristobabe.com/mouri…
Hoy hablé sobre el karma con dos personas: un amigo que acababa de hablar con un emprendedor que iba sacando dinero de su startup de formas muy feas, y sobre la madre de un amigo que cree que la vida no fue justa con ella.
notas.evaristobabe.com/el-ka…
Últimamente he estado en varias mesas en las que todos parecían competir por ser el protagonista y me acordé de una idea de Charles Saatchi: es mejor interesarse que intentar ser interesante.
notas.evaristobabe.com/es-me…
Un amigo me preguntó por qué hay gente que hace las cosas y otra que se queda paralizada por el miedo.
Me hizo darle vueltas y terminé escribiendo este artículo sobre cómo conseguí que el miedo dejase de decidir por mí.
notas.evaristobabe.com/el-pr…
Wow
Mexico is physically connecting itself to the AI economy 🇲🇽
For decades, cars were the king of Mexican exports to the United States. Today, that crown belongs to the servers powering AI data centers.
In fact, this year Mexico supplies 40% of the servers imported by the US, almost all assembled to run AI models.
Each rack is so valuable that a single trailer load is worth the equivalent of a thousand cars in export value.
When I read that news in the FT, I connected the dots with what is happening in Jalisco.
Foxconn is building one of its largest server manufacturing facilities, running on Nvidia chips, on the outskirts of Guadalajara.
Guadalajara already had a reputation as the birthplace of Mexican engineering talent. Now add a hardware layer on top and you have the perfect combination.
I believe that combination of technical talent and advanced manufacturing is what can move Mexico up the AI value chain.
There are still plenty of challenges to solve, but it's worth noting that the AI data center boom is fundamentally reshaping Mexico's economic model.
He vuelto a compartir mi lista de los libros que leo.
Durante años la tuve en una lista compartida que dejé de actualizar porque Notion no podía filtrar bien tantos libros. Ahora es una web más cómoda con filtros, puntuaciones y breves reseñas.
evaristobabe.com/libros/
Evaristo Babé 🐙 retweeted
If I had to restart @ElevenLabs GTM from scratch, these are the things that I would change 🖊️
- Hire quicker. I was alone selling for the first 9 months because I believed we didn't have PMF. Main reasons: the AI tourist external mantra of 2023, and the uphill battle convincing everyone to hire more GTM (Sales development, Sales, Customer Success) because we were still mostly PLG / self-service. The hiring constraint lasted until earlier this year when we boosted our team to meet demand.
- Build an enablement team earlier. Sales enablement has such an important role in an org, and we mostly think about it when we hire a lot of people. The reality is that we need Enablement earlier due to the speed of product iteration.
- Open more markets. The results from Uber v Lyft operating models played a key role in deciding to open markets early, but I would triple down on it if we were to start over.
- Have more big bets. Similar to VCs, you only need 1 big bet to work in order to generate Alpha. We could have executed more big bets if we had had a single person owning & iterating on them. Former successful founder profile with drive and speed.
- Be more vocal about product ROI & our success. People buy from people, and companies buy based on success & ROI. In AI, we've all been slow showing ROI. This should be the key number when you start a conversation.
- Hire senior sellers. In startups, we've been told that culture is everything and someone with +25y experience may struggle to fit in. This is bullshit. The experience, connections and drive +25y sellers bring is crazy. We have a bunch today, but I would hire many more earlier.
- Reduce cash commissions and replace them with more equity. Cash is king, but Equity is queen. Queens also rule countries, so why not make Equity the dominant one in GTM?
- Open more offices. We are a remote-first company, but our customers are everywhere, and employees want to meet each other. I would open more offices to be embedded in markets quicker.
- Fun brand. Brand perception is 33% of the work. Building a fun brand adds quickly.
- Outbounds outbounds outbounds. We waited too long to migrate to an Outbound organisation. I would do it from day 1 now.
- Pipeline construction with more whales. The ideal pipeline needs to have a combo of segments to reduce risk, improve results and provide liquidity. We waited too long to pitch & bring whales.
- Not all deals are good deals. We, sellers, want to close a lot of ARR, but it is important to split early on between good vs bad deals.
Thank you to Tomasz Gmur for asking how I would do GTM again!
Evaristo Babé 🐙 retweeted
Here's a snapshot of the biological insult from international travel. It takes your body over two weeks to fully recover.
It's a big price tag.
One international trip per quarter is a reasonable balance.
Time to recover:
> sleep duration: 2 days
> grip strength: 5 days
> mood: 1 wk
> cortisol: 9 days
> sleep quality: 2 wks
> blood glucose: 2 wks
Evaristo Babé 🐙 retweeted
This is the biggest announcement I've made in the history of the company
In 2010 we started Freepik. Today, what we built has outgrown that name.
It's time we change that. We are Magnific
Evaristo Babé 🐙 retweeted
People who age happier and healthier tend to do 7 things:
They don’t smoke, exercise regularly (but not excessively), maintain a healthy weight, and are mindful with alcohol or other substances.
But one of the most interesting ideas that @arthurbrooks underscores is that the "happy-well" also have 3 less obvious traits.
They keep learning, they develop real skill in dealing with life’s problems, and they prioritize love—through a strong marriage, close friendships, or both.
Evaristo Babé 🐙 retweeted
110-year-old Turkish grandma shares her secret to a long life:
"i never once used Microsoft Teams"
Evaristo Babé 🐙 retweeted
I paused the company credit card used for Anthropic.
Every employee that didn’t complain that Claude was down I fired.
Evaristo Babé 🐙 retweeted
A bespoke software revolution? I don't buy it.
It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways.
Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo...
Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all.
So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design.
They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job.
Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before.
Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.
Evaristo Babé 🐙 retweeted
My information consumption is now 1/4 X, 1/4 podcast interviews of the smartest practitioners, 1/4 talking to the leading AI models, and 1/4 reading old books. The opportunity cost of anything else is far too high, and rising daily.
Evaristo Babé 🐙 retweeted
Larry Ellison is right. Models are trained on the same data. The differentiator now is expert human feedback applied to real workflows.
Doctors, lawyers, engineers. People who actually do the work. Observing how models fail in production, providing the cognition to fix it, and feeding that signal back into training.
That loop is the new moat: observe failure → extract expert judgment → build verifiers → post-train → deploy → observe new failures. Each cycle makes the model better at harder, longer-horizon tasks that general training data never covered.
The companies that own that loop will power the next generation of AI.
Larry Ellison $ORCL highlighted something critical: models like ChatGPT, Gemini, Grok, and Llama are all trained on largely the same public internet data.
When everyone trains on the same information, models inevitably converge. That’s why AI is moving toward commoditization.
The real moat isn’t the model itself. It’s the proprietary data behind it.
Companies that can train on exclusive datasets gain an advantage competitors can’t replicate.
Having data that no one else has will allow you to dominate your market.
Evaristo Babé 🐙 retweeted
We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax.
These labs created over 24,000 fraudulent accounts and generated over 16 million exchanges with Claude, extracting its capabilities to train and improve their own models.