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Good morning, finance and tech readers. It's a tale of two markets today: Robinhood is raking in record crypto volume but watching revenue evaporate, while Miro and Airtable are pouring billions into AI to stay ahead of the giants. And somewhere out there, a trader just turned $247 into pocket change in three hours.

In today's briefing

  • 1.Robinhood's revenue vs volume paradox
  • 2.Miro and Airtable's billion-dollar AI pivot
  • 3.Crypto leverage horror story
  • ⚡Quick hits on other news
Latest Developments
SaaS

💼Miro and Airtable Pivot to Enterprise AI With Billion-Dollar Bets

The Rundown: Collaboration giants Miro and Airtable are reshaping their platforms with billion-dollar investments in AI and enterprise tools.

The details:

  • ●Miro unveiled its new AI-powered collaboration suite, backed by a $500 million investment in AI infrastructure.
  • ●Airtable introduced an enterprise-grade AI assistant, leveraging its recent $1.2 billion funding round.
  • ●Both companies are targeting large enterprises as traditional tech giants double down on productivity software.
  • ●Analysts see this as a response to Microsoft and Google bundling AI features into Office and Workspace.
Why it matters: For founders, this signals that even category leaders feel pressure to reinvent around AI. Startups that can deliver specialized AI solutions for collaboration and workflow automation may find acquisition opportunities or face stiffer competition as platforms absorb these capabilities.

📰 Source: SaaStr

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Everything else in the news today

Miro's new AI suite includes a real-time whiteboarding assistant for remote teams.→
Airtable's enterprise plan now includes advanced automation and AI-driven database summaries.→
The altcoin in the trader's story was a newly listed meme token with no utility.→
Robinhood's record volume was largely driven by a surge in meme coin trading.→
The Defiant noted that global crypto liquidations exceeded $300 million in the last 24 hours.→
Both Miro and Airtable are reportedly planning to increase headcount in AI engineering roles.→
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