VC Matt Murphy on the AI startup playbook: Why speed and platform matter more than the model

Anthropic's growth trajectory stands out even among the AI boom's most explosive winners. The company reached a $47 billion annualized revenue rate by May, climbing sharply from $9 billion the year before—a pace that Menlo Ventures' Matt Murphy says exceeds anything he observed across three decades of investing, whether during the internet explosion, mobile revolution, or early cloud computing waves.

Murphy led Menlo's $500 million Series D backing of Anthropic and has tracked the company from its pre-launch, pre-revenue days to its current status as one of the world's most valuable private startups. On a recent episode of TechCrunch's Equity podcast, he shared insights into what separates today's fastest-scaling AI companies from the rest of the pack.

Beyond the Algorithm: Why Platform Beats Model#

The conventional wisdom in AI investing—that a superior model is the moat—misses the real story, Murphy argues. While Claude remains competitive, Anthropic's genuine competitive advantage lies in its evolution from model-maker to platform builder. Tools like Claude Code, MCP, and Claude Skills transformed the company's offering from a narrow strength into a comprehensive ecosystem that locks in developers and users across multiple touchpoints.

This shift mirrors how leading AI startups like Lovable and Legora are outpacing anything Murphy has witnessed in his career. The winners aren't resting on algorithmic superiority alone—they're building the infrastructure and workflows that make their products indispensable.

Speed as a Competitive Weapon#

The pace at which these next-generation startups scale revenue challenges conventional startup playbooks. Murphy credits this to a fundamental change in how AI-native companies operate: less focus on the model, more on user acquisition and platform stickiness. Founders building today must recognize that velocity matters more than perfection, and platform extensibility beats any isolated technological breakthrough.

The Investor's Gamble and the Market's Validation#

Betting on Anthropic at a $4 billion pre-revenue valuation was unconventional—the deal didn't fit neatly into Menlo's existing fund structure. Early validation came when Google and Amazon joined as investors, signaling that even tech giants saw what Murphy saw: a company capable of reshaping enterprise AI. Murphy also weighs in on the controversial Mythos rollout, pushing back against claims that the initiative was pure marketing rather than substantive safety work, though the backlash underscores how closely observers scrutinize Anthropic's moves.