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Bending Spoons IPO: Acquirer of AOL and Vimeo Goes Public

Milan-based Bending Spoons went public on the Nasdaq in early July 2026, briefly reaching a market capitalization above $25 billion, roughly double its prior private valuation. The company has built a portfolio of well-known digital brands — including Vimeo, AOL, Meetup, Eventbrite and WeTransfer — and reported $1.31 billion in revenue for 2025. Bending Spoons pursues an acquisition-led growth strategy described as PE-like but with an intention to hold and transform assets, often applying tech and AI alongside pricing and headcount changes that have drawn criticism. As of March 2026 the group said its portfolio served over 500 million monthly active users and more than 9 million monthly paying customers. Founders retain control of voting power and the company signals continued acquisitiveness backed by substantial operational centralization.

InboxAlly Issues Guidance to Improve Sender Reputation

InboxAlly, an email deliverability platform, published new guidance on the importance of sender reputation for email marketing, noting that roughly 21% of legitimate marketing emails never reach inboxes. The release explains that mailbox providers (e.g., Gmail, Outlook, Yahoo) assign trust scores influenced by spam complaints, bounces and user engagement, and recommends best practices such as implementing SPF, DKIM and DMARC, regular list hygiene, engagement monitoring, and using email warmup for new or recovering senders. The announcement highlights InboxAlly’s deliverability toolkit, which includes analytics and an email warmup tool to simulate engagement signals and help brands improve inbox placement and long-term campaign ROI.

AI 'Psychosis' and Accelerating AI-Driven Layoffs

Box founder Aaron Levie warned of “AI psychosis,” a management blind spot where executives overconfident in AI push to replace human roles without understanding the work. The article cites ClickUp’s announcement to cut 22% of its workforce and replace roles with AI agents, and notes 2026 tech layoffs have nearly matched all of 2025 before midyear. JudyAI Lab frames this as a requirements-analysis failure: teams skip deep interviews with role incumbents, automating visible steps while missing implicit human judgment, exception handling, and edge-case work. The piece urges AI implementers to involve the people doing the work when designing agent/workflow automation to avoid efficiency losses from over-automation.