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Bending Spoons Cofounders Join Billionaire Ranks Amid Strategic Acquisition Surge

Bending Spoons has catapulted its four cofounders into the billionaire realm this week, underscoring the firm’s rapid ascent in the tech industry. CEO Luca Ferrari now controls a stake reportedly worth $1.4 billion, while cofounders Matteo Danieli, Luca Querella, and Francesco Patarnello each command stakes estimated at $1.3 billion, according to Forbes and data from the Italian Business Register.

Acquisitions Catalyze Billionaire Valuations

The remarkable valuation surge follows a pivotal funding round that injected $270 million from heavyweight investors, including T. Rowe Price, Baillie Gifford, Cox Enterprises, Durable Capital Partners, and Fidelity, along with a $440 million secondary share sale among existing shareholders. Though details remain scarce regarding whether the cofounders divested any shares during this round, Bending Spoons has maintained a policy of silence on the matter.

Transforming Digital Assets Into Market Leaders

Far from being a conventional private equity firm, Bending Spoons employs a unique strategy: acquiring established yet underperforming tech brands and transforming them into streamlined, high-efficiency digital powerhouses. The company’s transition from developing its own apps to strategically purchasing and revamping digital properties has enabled it to underpin a portfolio that now reaches over 300 million monthly active users and 10 million paying customers worldwide. Among its high-profile deals is the recent acquisition of AOL, marking a significant milestone in its expansion strategy.

Methodical Restructuring and Strategic Overhauls

Bending Spoons consistently garners media attention not only for its transformative acquisitions but also for its decisive structural overhauls. Following the acquisitions of brands such as Evernote, WeTransfer, Meetup, Mosaic Group, Hopin’s StreamYard, Issuu, and Brightcove, the company has implemented sweeping changes—from major layoffs to alterations in product features and monetization models. Each restructuring is aimed at rejuvenating user engagement and maximizing revenue potential, while the firm steadfastly maintains that its acquisitions are designed to be long-term investments.

Financial Milestones And Future Expansion

By the end of October 2025, Bending Spoons had earned its place as one of Europe’s rare tech decacorns, boasting a valuation north of $10 billion. This success is bolstered by previous financing rounds and a marquee roster of investors and celebrity stakeholders, including Andre Agassi, Bradley Cooper, Eric Schmidt, and The Weeknd. With a fresh round of funding earmarked for further acquisitions and investments in proprietary and AI technologies, the company is poised to pursue even more substantial targets, such as the forthcoming all-cash deals for Vimeo and AOL.

A Robust Pipeline And A Global Talent Drive

The acquisition momentum shows no sign of abating. In addition to recent high-profile deals, Bending Spoons is actively expanding its talent pool to support its evolving portfolio. With its headquarters in Milan and further offices in London, Madrid, and Warsaw, the company recently reported over 600,000 job applications in 2025—a testament to its growing prestige and influence in the global tech market.

As Bending Spoons continues to reshape how digital businesses are managed and monetized, the tech conglomerate remains at the forefront of strategic acquisitions and operational transformations. Its future acquisitions, backed by substantial funding and a bold vision, promise to redefine the digital landscape for millions of users worldwide.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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