easy
Beyond Market Intelligence keeps easy in one place: 3 stories so far. The section currently leads with “How Olaf Sakkers is redefining what it takes to launch a first-time fund”, “Google and Amazon give PyTorch developers a new path beyond Nvidia GPUs”, and “Unlocking MCP: A Visual Guide to Empower Your Workflow”. Olaf Sakkers has spent five years proving that launching a first-time fund, especially in today's daunting venture climate, is far from impossible. Google and Amazon have both now released tools that let PyTorch developers move their applications beyond Nvidia GPUs. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every easy story on Beyond Market Intelligence, newest first.
How Olaf Sakkers is redefining what it takes to launch a first-time fund
Olaf Sakkers has spent five years proving that launching a first-time fund, especially in today's daunting venture climate, is far from impossible. He's redefining what it takes by focusing on what actually works: patience, precision, and a clear-eyed view of where capital can make a real difference. This isn't about hype; it's about building something durable. For more on how fund managers are finding their footing, see our coverage of Proximal Ventures' $27.5 million AI fund.
Google and Amazon give PyTorch developers a new path beyond Nvidia GPUs
Google and Amazon have both now released tools that let PyTorch developers move their applications beyond Nvidia GPUs. That is a meaningful step toward a more open AI infrastructure. For teams feeling locked into a single hardware path, this opens real flexibility. It is a practical shift, not a marketing promise. And it connects to a broader trend we are tracking: in our piece on Muse's rapid growth, we explore how users are embracing AI on their own terms.
Unlocking MCP: A Visual Guide to Empower Your Workflow
MCP can feel like a maze of technical jargon, but it doesn't have to. This visual guide breaks down how it works, then shows you exactly how to pair it with Claude Code, Tavily, GitHub, and Playwright. The diagrams do the heavy lifting, making a complex concept genuinely approachable. If you're ready to move past theory and into practical workflow improvements, this is a solid starting point. For a deeper dive into related infrastructure, our guide on distributed training algorithms is worth exploring next.