How Early-Stage Investing Is Shifting — From Pattern Matching to Founder Conviction

By Andra Bagdonaitė, General Partner at FIRSTPICK

Most early-stage investment decisions are made with almost no data.

There's no revenue to analyze. No market share to defend. No proven team history at the specific problem they're now attacking. And yet capital gets deployed, at speed, in volume, based on frameworks built for a world that increasingly no longer exists.

The question every serious early-stage investor should be asking right now: what is actually driving conviction, and is our answer still honest?

The Traditional Model and Its Comfortable Lies

For decades, early-stage investing leaned heavily on pattern matching. Pedigree: did the founder come from Google, McKinsey, a previous exit? Traction signals: early revenue, paying pilots, waitlist conversion. And the unspoken one: whether the market narrative was hot enough to make the thesis feel safe. The founders who built Vinted, Bolt, or Veriff didn't fit this template. None of them looked like obvious bets at the start.

There's logic to it. When data is scarce, you look for proxies. A founder with a strong prior exit, raising in a category with clear enterprise demand and institutional backing: that cluster of signals has historically correlated with returns. Pattern matching worked well enough that it became infrastructure.

But it has always had a structural problem: it is fundamentally backward-looking. It selects for founders who fit a prior model of success, not necessarily for founders who are building the next thing.

The outliers, the founders who actually create new categories, rarely look right at the start. They're often too technical, too weird, building something that sounds niche or niche-adjacent, entering a space that established VCs haven't blessed yet. Pattern matching misses them almost by design.

Why That Model Is Breaking

Three things are happening simultaneously that accelerate pattern matching's decline.

Speed. AI has fundamentally changed how fast startups can reach early milestones. What used to take a year, prototype, first users, some validation signal, can now take weeks. Some of our most recent portfolio companies reached multimillion ARR within months of their first check. The window between an idea and real proof is compressing faster than most investors have adjusted for. Waiting for traction before making a call increasingly means waiting until after the best entry point is gone.

Noisier signals. The metrics investors relied on have become harder to read. A founder with a YC badge or a big-company background used to mean something more distinctive. Today, the supply of credentialed founders has expanded massively. Pedigree is more common; it differentiates less. Early traction can also be manufactured: growth hacks, launch campaigns, waitlists that never convert. The traditional checklist is full of inputs that no longer do what they're supposed to.

New founder archetypes. The best companies being built right now are often started by people who have never built a company before. Deep domain experts, scientists, engineers, former operators, who spotted a problem no one else was close enough to see. Their pitches don't land smoothly. Their slides aren't polished. They fail the pattern test. But they understand their problem at a depth that trained founders often don't.

The Shift: From Pattern to Conviction

What replaces pattern matching isn't intuition. It's a more rigorous form of evaluation — one that focuses on how a founder thinks rather than what they've done.

Three things stand out in founders who are building something real:

Clarity of thought. Can they explain, in plain language, why this problem matters, who has it acutely, and why the existing solutions are structurally inadequate? Not the pitch deck version, but the version they give when you push back hard. The founders who hold up under challenge, who sharpen rather than retreat, who welcome the friction: those are the ones worth betting on.

Speed of execution. What did they do last week? Last month? How do they make decisions when they don't have enough information? The fastest founders we've backed have done things that still surprise us: one signed 10 new clients in the week between our first meeting and our second. Even in B2B, a sector that used to move slowly, the new generation of founders is operating at a pace that makes traditional evaluation timelines feel broken. Early-stage companies live and die on the velocity of their iteration loop.

Depth of insight. Have they uncovered something non-obvious? A pattern in customer behavior, a structural quirk in the market, a technical possibility that isn't obvious from the outside? This is the hardest to fake. The founders who have it tend to light up when they talk about their domain: they go deeper the more you ask, not shallower.

What We Look for in the First Check

At FIRSTPICK, we're often writing checks before companies have meaningful traction. Sometimes before there's even a company at all, just an exceptional founder with an exceptional idea and the clarity to act on it. That's by design. It means we have to build conviction from the conversation, not the metrics.

The things that actually move us: founders who already know the objections to their idea and have genuinely worked through them. Founders who've talked to a lot of customers and can tell you exactly where the pattern breaks. Founders who show up having already done something, even something small, rather than asking permission to start.

What most founders misunderstand: investors are not waiting to be impressed by the pitch. They're looking for evidence that the founder knows something specific that other people don't, and that they're the right person to act on it. Talking about market size doesn't prove that. Talking about the conversation they had with their 30th customer, and what they heard that surprised them, does.

The other thing worth saying plainly: polish is often inversely correlated with insight. Founders who have spent most of their energy making the pitch deck beautiful are often founders who haven't spent enough time in the problem. The founders who've done the real work usually have something rougher and more interesting to say.

What This Means in Practice

For founders: your job in an early conversation is not to present, it's to reveal. Show how you think. Share what you know that others don't. Be specific, not broad. A single sharp insight about your customer beats a grand vision about your market every time.

For investors: the honest version of this shift requires building your own conviction frameworks, not borrowing someone else's pattern. What is the specific combination of signals that tells you this founder, in this market, at this moment, is worth backing? If your answer is mostly about pedigree and traction, you're likely selecting for companies that are already obvious and already competed for.

The best early-stage investments aren't made on what's visible. They're made on what's understood early, before it's provable, before it fits the template, before anyone else has made the same call.

Conviction isn't the absence of rigor. It's rigor applied to the right things.

Andra Bagdonaitė is General Partner at FIRSTPICK, an early-stage VC fund backing founders at inception across the Baltics. FIRSTPICK invests at pre-seed and seed stage across Lithuania, Latvia, and Estonia.