The Nasdaq Ring Heard in Milan
Bending Spoons just went public on the Nasdaq at an $18 billion valuation, and they flew the entire company to New York to ring the bell. That's a bold move. It's also exactly the kind of counter-cultural splash we should expect from a company that has spent the last decade quietly buying up internet brands that everyone else gave up on. The Milan-based firm didn't just open strong on July 1, 2026—the stock popped 40% by the time the market closed.
To put this in perspective: Bending Spoons was valued at $11 billion in a private equity round just before the listing.
A lot of VCs used to tell them they were crazy. I remember hearing these whispers myself when I was at Sequoia. Nobody understood the roll-up play in technology. People thought PE-style consolidation belonged to boring service sectors, not high-growth consumer software. Yet here we are. With acquisitions like Meetup, Eventbrite, Vimeo, and WeTransfer under their belt, Bending Spoons has built a powerhouse. They don't flip their targets. They take beloved, ailing brands, re-engineer them with AI, and hold onto them for the long term. It's a strategy born out of early trauma and a desperate need to control their own destiny.
The Evertale Failure That Sparked an Obsession
Success in the early stages of a tech startup is mostly luck. That's a hard truth most founders refuse to admit.
Matteo Danieli, Luca Ferrari, Francesco Patarnello, and Luca Querella learned this lesson the painful way. Before Bending Spoons, they built Evertale. The app was designed to automatically create a diary of a user's life, leveraging machine learning back before it was cool. Evertale failed. It wasn't because the team lacked talent or worked slowly. It failed because the zero-to-one stage is a lottery.
That failure triggered a massive philosophical pivot. The founders realized that you can't scale a business if your success depends on rolling double sixes. So they developed an obsession: how do you build a massive tech company while minimizing luck?
Their answer was operational excellence. If finding product-market fit requires luck, then buying existing products with established fit removes the biggest variable. Luck becomes irrelevant when you focus entirely on execution, tracking, and analytics infrastructure. The tagline of Bending Spoons is "Impossible. Maybe." but their actual playbook is cold, calculated engineering. They took private equity-style roll-ups, stripped out the financial engineering, and replaced it with product optimization.
Minimizing Luck Through Operational Rigor
How does this look in practice? It's not always pretty.
When Bending Spoons buys a brand, they usually implement immediate, heavy layoffs. They also raise prices. If you've been a long-time subscriber to WeTransfer or Evernote, you probably complained about this on Reddit. I've seen the threads. Yet, according to Bending Spoons' F-1 filing, customer retention has remained remarkably stable. They don't guess: they use a highly sophisticated tracking and experimentation toolkit to price products exactly at their utility value.
Then there is the AI engine.
Bending Spoons has been using AI before it became a venture capital buzzword. According to their interview with TechCrunch, they've injected AI tools into their development cycle over the past year and a half. The productivity gains are wild. According to their SEC filing, the revenue per full-time employee—or "Spooner"—climbed from $1.12 million in 2023 to $2.57 million in 2025. Even in Q1 2026, it sat at $0.97 million. That's a staggering efficiency leap.
AI allows their engineering teams to ship features at a pace that traditional, bloated software organizations can't touch. They aren't just automating back-office work; they are accelerating user value. It's the ultimate execution moat.
Of course, not every company can replicate these numbers. The broader debate over whether AI actually delivers productivity gains—Box CEO Aaron Levie's concept of 'AI psychosis' and the NBER data on executive perception versus reality—highlights how rare Bending Spoons' results truly are. Their edge isn't just AI adoption; it's the disciplined, data-driven culture that turns tooling into measurable output.
The Evernote Turnaround and User Backlash
Evernote was the ultimate test for this model.
When Bending Spoons acquired the note-taking app, the community was furious. Evernote was their first target with a truly die-hard, vocal user base. The judges were strict, and the initial reaction to price changes and structural reorganizations was brutal.
But the Bending Spoons team put their heads down and shipped.
They released the v11 update, which completely rebuilt Evernote's core database structure and introduced heavy AI capabilities. It wasn't a minor patch; it was a total overhaul. The bet paid off. The product became faster, sync errors disappeared, and even Evernote co-founder Phil Libin publicly praised the changes.
That turnaround is the blueprint. It proved that Bending Spoons could do more than just cut costs and keep the lights on. They could actually make the product better. If you can take a legacy app that was bleeding users, stabilize its infrastructure, and win back its most demanding critics, you can run this playbook on almost any software asset.
The Talent Machine Behind the Acquisitions
None of this works without a specific kind of operator.
Early on, co-founder Luca Ferrari spent the best part of the first two or three years focusing almost entirely on culture and hiring processes. They didn't want standard Silicon Valley resumes. They wanted people who were obsessed with operations, not prestige.
Bending Spoons has built a system that excels at spotting young talent before they have a long track record. They hire for raw problem-solving ability and cultural alignment rather than academic pedigrees or big-name employers. They train these recruits to execute their highly disciplined, data-heavy playbook.
This talent engine is what allows them to absorb massive, complex codebases like Vimeo or Eventbrite without breaking. They don't need a thousand engineers to run these platforms. They need a small, highly aligned team that understands how to leverage AI to keep the lights on and the features shipping.
A New Era for Tech Consolidation
We are entering a market cycle where cash flow is king.
The era of cheap capital and endless runway is over. VCs are realizing that hoping for a zero-to-one unicorn isn't the only way to return a fund. That's why we're seeing an explosion of interest in venture roll-ups powered by AI. By applying AI-driven efficiency to established, cash-flowing assets, operators can build massive businesses with a fraction of the risk.
Bending Spoons is the pioneer here. While VCs laughed at them years ago, they are now copying their homework.
As SaaS valuations remain depressed across the board, Bending Spoons is in prime position to deploy its new public capital. They will keep buying. And with their stock popping 40% on day one of their IPO, they have a massive war chest to do it. The game has changed, and Bending Spoons is writing the rules.