Growth Ritual #92
đ In This Issue:
AI Engineer in Your Pocket
Four Thieves at the Louvre Just Taught Us a Masterclass in Building AI Products
68% of Your Users Hate You: The âOfflineâ Opportunity â đ
God 2.0: Building the First âAll-Knowingâ Entity That Actually Answers â đ
The âDark Sideâ of Googleâs New Self-Learning AI â đ
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Bending Spoons: The Quiet Italian Company Thatâs Buying and Rebuilding the Internet
Iâve been watching this company for years, and honestly, I still canât quite believe what theyâve pulled off.
Four engineers from Milan, Luca Ferrari, Matteo Danieli, Luca Querella, and Francesco Patarnello spent $10,000 on a niche keyboard personalization app.
Today, their company, Bending Spoons, is valued at $11 billion, has just closed a $710 million funding round (including $270 million in new capital and $440 million in secondary sales), and has purchased iconic internet brands like Evernote, Meetup, Brightcove, WeTransfer, Vimeo, and most recently, AOL.
All four cofounders are now billionaires.
This isnât another hype-driven unicorn story. Itâs something rarer: a genuinely profitable, engineering-first company that figured out how to buy neglected digital products, fix them properly, and make serious money doing it.
How It Actually Started
2013â2014. Four friends in their twenties, working from a tiny office in Milan. Theyâre exceptionally skilled, masters of mobile development and bold growth hacks that push every boundary.
They launch a few of their own apps, make decent money, but notice something interesting: there are thousands of apps making $1â10 million a year that are badly run, have outdated code, terrible UX, and owners who just want out.
So they start buying them. Cheap. The first one cost ten grand. They rewrite the code, fix the crashes, improve the onboarding, run proper growth experiments, and suddenly that sleepy little app is doing 3â5Ă more revenue.
They repeat it. Again. Again.
By 2018â2019 theyâve quietly built a portfolio thatâs throwing off real cash flow, almost entirely bootstrapped.
Thatâs the part most people miss. This company was profitable from very early days. They didnât need VC until 2021, and even then it was on their terms.
What Theyâre Doing Now (And Why Itâs Working So Well)
Today the playbook is the same, just scaled up dramatically:
Find products with large, loyal user bases but stalled growth and technical debt.
Buy them (often cheap because public markets hate âno-growthâ software stocks).
Trim anything that no longer contributes to growth, whether itâs underperforming roles, wasteful spending, or outdated processes.
Move everything to their internal platform.
Rebuild the core tech properly.
Add AI where it actually helps users.
Raise prices when the product finally doesnât suck anymore.
Enjoy 40â60% EBITDA margins.
Evernote is the perfect example.
When they bought it in 2022, it was a mess. Sync was broken, apps were slow, half the features hadnât been touched in years.
They cut staff (yes, that happened), but more importantly they rewrote huge chunks of the backend, fixed sync for good, and shipped real AI features that people actually use.
Same story with Meetup: new apps, better recommendations, leading to a 40% increase in monthly active users within 18 months.
Vimeo is the big one now. They took it private for $1.38 billion after the market had completely forgotten about it.
Theyâre doing the same thing: rebuild the player, improve encoding pipelines, add AI clipping and transcription, make the creator tools actually good again.
AOL is the wild card. Most people laughed when the deal was announced. âAOL? Really?â But look closer: millions of aging but sticky email users, content sites, ad tech infrastructure, and a brand people still recognize.
In the hands of a competent engineering team, thatâs a huge amount of reachable eyeballs for AI-era products.
The Portfolio
Itâs worth taking a tour of their full product portfolio and the short stories behind each one.
Evernote â The once-beloved note-taking app that had become bloated and neglected
Brightcove â Enterprise video-hosting infrastructure it snatched for $233 million
Vimeo â The artsy video host it just took private for $1.38 billion
AOL â Yes, that AOL. The American internet pioneer, freshly liberated from Apollo
WeTransfer â The âsend big filesâ site that still asks you to wait 30 seconds
Meetup â The community-events platform that lost momentum post-COVID
StreamYard â The browser-based live-stream studio it pried from Hopinâs fire-sale
Issuu â The digital-publishing flip-book service everyone forgot existed
Remini â The AI photo-enhancement hit that turns grainy snaps into HD glamour shots
Splice â The mobile video editor GoPro couldnât make profitable
Komoot â The outdoor-navigation app every German hiker swears by
Harvest â The time-tracking tool agencies love to hate
MileIQ â The mileage logger Microsoft dumped and nobody noticed
FiLMiC Pro â The pro-grade mobile cinema camera app that turned iPhones into Hollywood rigs
30 Day Fitness â The home-workout challenger that promises abs in a month
Why Acquire So Broadly? The Network Effects Play
Critics have questioned Bending Spoonsâ lack of sector focus, owning everything from outdoor apps (Komoot) to video platforms (Vimeo, Brightcove) to legacy web portals (AOL). But the apparent randomness serves a strategic purpose.
Bending Spoons isnât betting on a single vertical. Itâs assembling a diversified portfolio of digital âattention hubsâ, each capturing user time in different contexts (work, fitness, entertainment, community).
The real synergy lies not in cross-selling, but in shared infrastructure.
The company has quietly built an internal stack that employees call âSpoonOSâ.
Authentication
Billing & subscriptions
Analytics
A/B testing
AI models (transcription, summarization, image generation, etc.)
DevOps & deployment
This allows Bending Spoons to:
Rapidly deploy AI features (e.g., transcription, summarization, personalization) across multiple apps using shared models.
Centralize ad tech and subscription management to maximize LTV (lifetime value).
Reduce engineering redundancy: one team can maintain core services for dozens of products.
In essence, Bending Spoons is creating a multi-product SaaS operating system, a vertically integrated digital utility company for the attention economy.
One team can push a new AI feature to Evernote, Meetup, and Vimeo in weeks, not months. Most companies canât do that across even two products.
They also have something like 500â600 engineers now (mostly in Milan) who are genuinely elite. These arenât cheap offshore contractors. Theyâre the kind of people who could work at FAANG but prefer building real products with actual impact.
The AI Catalyst
The companyâs latest funding round explicitly mentions AI as a key investment area.
This isnât just buzzword compliance.
Theyâre sitting on training data that most AI companies would kill for:
Video content and user behavior from Vimeo and Brightcove
Productivity patterns and note structures from Evernote
Community engagement data from Meetup
Outdoor navigation and fitness patterns from Komoot
A massive (if aging) web content archive from AOL
Bending Spoons has been training proprietary AI models on anonymized user data from its portfolio, models fine-tuned for specific tasks like video captioning (for Vimeo), route optimization (for Komoot), or meeting note extraction (for Evernote).
Because these apps serve distinct use cases, the AI training data is highly contextual, giving Bending Spoons an edge over generic LLMs.
The result?
Higher accuracy, lower inference costs, and defensible product moats.
Moreover, with AOLâs massive (if aging) user base and content infrastructure, Bending Spoons gains a potential platform to deploy AI-driven news curation, personalized portals, and ad targeting at web-scale, reviving the portal model for the generative AI era.
Financial Engine: Debt, Margins, and Optionality
Bending Spoonsâ $2.8 billion debt facility âraised alongside the AOL dealâ signals confidence in its ability to generate consistent cash flow.
The company reportedly targets EBITDA margins above 30% post-acquisition, achieved through headcount rationalization, pricing power, and infrastructure consolidation.
This financial discipline funds further M&A, but also provides optionality: Bending Spoons could eventually spin off or IPO individual assets (e.g., Vimeo as a standalone video SaaS play) or bundle them into a âsuper appâ ecosystem.
The Ultimate Vision: A European Digital Sovereign
Perhaps the most understated aspect of Bending Spoonsâ rise is its geopolitical significance.
In a global tech landscape dominated by U.S. and Chinese giants, Bending Spoons represents Europeâs most credible attempt to build a homegrown digital conglomerate, one thatâs profitable, scalable, and technically elite.
Backed by European and U.S. investors but rooted in Milan, the company has avoided the growth-at-all-costs trap that plagued many startups. Instead, it prioritizes capital efficiency, engineering depth, and user monetization, values more aligned with European business traditions.
If Bending Spoons continues its trajectory, it could become the first European tech company to rival the scale of Alphabet or Meta, not by inventing the next social network, but by rescuing, rebuilding, and unifying the fragments of the old internet into a coherent, AI-augmented whole.
Future Predictions: The Next 3 Years for Bending Spoons
I think they are the Berkshire Hathaway of the AI era.
Based on their recent $2.8B debt facility and the AOL acquisition, Bending Spoons is shifting gears. They are no longer just looking for âappsâ; they are looking for Internet Infrastructure.
Here is what we can expect in the next 12-36 months:
Buy Buy Buy: Theyâll keep buying âzombieâ public companiesâBox, GoDaddy, TripAdvisor, Yelp, maybe even something like Eventbrite or SoundCloud if the price drops enough.
SpoonID: Theyâll launch a unified login/subscription layer across the portfolio. Imagine one account that works for Evernote, Vimeo, Meetup, Komoot, etc., with bundled pricing tiers. Thatâs coming.
The AI Pivot: They are no longer just an app aggregators; they are an AI integration lab. They are using the massive data lakes from their portfolio (video data from Vimeo, text from Evernote, location from Komoot) to train proprietary models that are far more contextual than generic LLMs. Also, heavy AI integration everywhere, but done tastefully. Think:
Evernote that actually understands your notes and can answer questions about them
Vimeo that auto-edits rough cuts into something watchable
Komoot routes optimized for weather, fitness level, scenery preferences
AOL portal thatâs weirdly good again because itâs personalized by an AI that knows you from your email habits
The Ruthless Efficiency: They are unapologetic about restructuring. They acquire bloated companies, cut the headcount significantly, and replace human inefficiency with their tech stack. Itâs brutal, but from a business physics perspective, it works. They turn break-even companies into cash cows with 30%+ EBITDA margins almost overnight.
AOL becomes the Trojan horse for B2B: Theyâll turn AOL Mail + Yahoo (theyâll probably buy it too, just watch) into an enterprise-grade, GDPR-compliant, âEuropeanâ alternative to Google Workspace + Microsoft 365. Governments and banks will eat it up.
IPO: At least one big spin-off or IPO. Vimeo feels like the obvious candidate once itâs clearly growing again.
Need GPU: Possible strategic partnership with Microsoft or Oracle for cloud/AI compute. Theyâll want to stay independent, but theyâre going to need serious GPU capacity soon.
Theyâre not trying to invent the next TikTok or ChatGPT. Theyâre doing the unsexy but massively valuable work of inheriting and upgrading the digital infrastructure that hundreds of millions of people still use every day.
In a world full of overfunded, money-losing âdisruptorsâ, hereâs a company thatâs just⌠really good at building and fixing software. Profitable from day one.
IN COLLABORATION WITH RETURN PRIME
Your Biggest Leak is Now Your Best Funnel
For those of us building in e-commerce or running a D2C brand, âreturnsâ is the metric we hate to look at.
Itâs pure revenue leakage, a logistics nightmare, and a black hole for customer support hours.
We spend a fortune optimizing CAC to get the customer, only to watch profits walk right out the back door. But what if weâre looking at this all wrong? What if the return process isnât an operations problem but a high-intent marketing touchpoint?
Thatâs the entire thesis behind Return Prime, and itâs a total game-changer for revenue retention.
Instead of just processing a refund, their platform turns that moment into an automated micro-funnel.
When a customer initiates a return, Return Prime doesnât just say âOKâ. It nudges them to exchange for a different size or product. It also has built-in upsell features, allowing customers to add new items to their cart during the return process.
And thatâs not all. If shoppers still choose to return, it intelligently encourages them to convert the cash refund into store credit âoften with a small bonus incentiveâ helping brands retain customers and increase LTV.
The results are wild: brands using it are seeing an average of 12% additional revenue generated from what used to be a total loss.
We obsess over building scalable systems, and this is a critical, often-ignored, part of the stack. Return Prime automates this entire revenue-saving flow, plugs into over 100 logistics and tech partners (like Shopify, of course), and gives you a new lever to pull for increasing LTV.
They have raised a total $68 Million in Funding from marquee investors and are the only 5-star rated returns app on Shopify (with over 700 reviews), so this isnât a guess, itâs a proven, high-ROI play.
If you run a D2C brand or build for them, stop treating returns as a cost center. Check out Return Prime and start turning your returns into revenue.






