a16z Partner: Three Viable Paths for Crypto Projects to Achieve Product-Market Fit
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a16z Partner: Three Viable Paths for Crypto Projects to Achieve Product-Market Fit
Bind institutions, secure AI positioning, and adopt AI internally first.
Navigating Web3 tides with focused insightsAuthor: Jason Rosenthal
Translated by: TechFlow
TechFlow Intro: Jason Rosenthal, Operating Partner at a16z Crypto, outlines three proven paths for crypto projects to achieve Product-Market Fit (PMF): co-building with top-tier customers, positioning early on the exponential growth curve of AI Agents, and becoming your own first—and best—customer. Drawing on case studies including LayerZero, AgentCash, and ZKsync, this article offers direct, actionable insights for teams pivoting—or still searching—for PMF.
Product-Market Fit (PMF) is the single most decisive factor determining a company’s survival. Achieve it, and you earn the chance to succeed. Fail to achieve it, and nothing else can save you.
@jasonrosenthal tweeted:
Finding and achieving Product-Market Fit is the most powerful and important task for any early-stage startup. I’ve spent much of my career focused on this across multiple companies. Below are five strategies for finding PMF in Web3.
Throwing more money at the problem only extends your runway toward a bad outcome. Growth hacking and continuous token airdrops disconnected from real strategy don’t lead to PMF—they merely mask the fact that you haven’t found it yet. Some of crypto’s most potent tools—tokens and network effects—can even mislead projects about whether they’ve truly achieved PMF.
The good news? Top teams are now achieving PMF faster than ever. Killer applications like stablecoins have already been validated, and traditional finance—and broader consumer markets—are accelerating their entry into crypto.
Below are three patterns currently proving successful. If your project hasn’t yet reached PMF—or is actively pivoting—pay close attention.
1. Partner with top-tier customers and build what they need
Identify the most sophisticated potential customers in your domain—and co-build your product with them. Their needs become your product specification.
This approach is slower than launching a generic product and iterating publicly—but if your first customer processes trillions of dollars in transactions daily, their adoption carries far more weight than any media coverage, TVL metric, or retail attention. At its core, PMF means your product resonates broadly with customers—and these flagship clients serve as the most reliable leading indicator.
A wave of high-profile partnership announcements and product launches between crypto startups and traditional financial institutions—such as this recent LayerZero collaboration—shows that institutional clients are now writing the product roadmap. Blockchains are beginning to underpin global financial infrastructure.
2. Identify an exponential growth curve—and position yourself ahead of it
PMF sometimes emerges from serving an existing market better—but often, it arises from spotting where a market is headed before it fully realizes it—and securing your position early enough to benefit.
The clearest current example: AI Agents are rapidly evolving into economic actors. They autonomously invoke APIs, deploy capital, and execute trades at machine speed. The assumption of “humans in the loop” is collapsing faster than most anticipated.
In commercializing AI Agents, Samuel Ragsdale and Ryan Sproule at Merit Systems recognized this early—and are building AgentCash on the x402 protocol. AgentCash enables AI Agents to pay for API access using cryptocurrency—a foundational infrastructure enabling fully autonomous, programmable transactions without manual billing oversight.
Payments are the critical step transforming Agents from “assistants” into active “participants.” Whoever builds those payment rails today will own a foundational layer when the Agent economy arrives.
3. Be your own first—and best—customer
The most enduring infrastructure companies don’t wait for external developers to validate their technology. Instead, they first build applications on their own stack—proving capability through real-world operation—then invite others to adopt it.
Amazon executed this playbook to perfection. AWS wasn’t initially sold to startups. Amazon first built the infrastructure needed to power its own e-commerce business—stress-tested it at massive scale—and only later opened it up to external users.
Alex Gluchowski of Matter Labs is following the same script.
Rather than marketing Prividium as an abstract enterprise solution, he anchored it to a concrete use case: tokenized deposits. The result is Cari Network. U.S. regional banks—including Huntington Bancshares, First Horizon, M&T Bank, KeyCorp, and Old National Bancorp—can now transfer customer deposits across banks in real time on-chain, while those funds remain fully within the regulated banking system at all times. ZKsync didn’t just build the track—it identified and launched the track’s killer application.
Three patterns. One underlying principle: The fastest path to PMF isn’t blind trial-and-error—it’s choosing the right battlefield and committing with conviction before everyone else jumps in.
Co-build with the customer whose validation compounds. Position yourself on the growth curve before consensus forms. Be your own first—and best—customer.
Pick the pattern that fits your product—and get started.
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