Stop Climbing the Wrong Hill

Most founders optimize brilliantly for an opportunity space they chose by accident. Here’s the discipline that fixes the problem — before the climbing begins.

In computer science, a “hill climber” algorithm finds the highest point in a landscape by always moving upward from wherever it starts. It’s efficient. It’s disciplined. And it has a well-known failure mode: if you start near a modest local peak, you’ll reach it with complete confidence — and remain entirely blind to a much higher mountain visible from a different starting position.

This is the defining failure mode of modern venture building.

Founders optimize relentlessly: customer interviews, product iterations, pivot after pivot. They often succeed in reaching the top of the hill they started on. What they almost never ask — before the first customer conversation or the first line of code — is whether they’re starting near the right hill at all.

Webvan. Blue Apron. WeWork. Quibi. These aren’t cautionary tales about bad execution. They’re cautionary tales about starting position. Each climbed skillfully. Each reached a peak. It simply wasn’t a peak that could sustain what the venture required.

“Founders optimize relentlessly — and often succeed in reaching the top of the hill they started on. What they almost never ask is whether they started near the right hill.”

The Original Sin: Combining Problem and Solution Too Soon

Almost every founder arrives at the venture-building process carrying what feels like an idea. In reality, it’s a verdict — a problem and a solution already fused together.

“A platform that uses AI to streamline small business accounting.” “Autonomous vehicles delivering medication to mobility-impaired patients.” These feel like starting points. They are, in fact, endpoints.

The moment a founder articulates a combined problem-solution framing, they’ve made a profound and largely invisible commercial decision: they’ve collapsed the venture search space on both sides simultaneously, before examining either side on its own terms.

This isn’t an individual failure. It’s structural. Pitching culture rewards the clean problem-solution pair. Accelerator applications demand it. Investor decks are organized around it. Founders are trained from day one to combine the two — and the venture gets located, not chosen, at whatever commercial opportunity happens to sit nearest to the framing they walked in with.

The underlying logic, once named, is simple: a well-stated problem should have multiple potential solutions, and a genuine innovation should be applicable to multiple problems. When you specify both simultaneously, you eliminate most of the commercial landscape before you’ve looked at it. You start the hill climber next to a local maximum and call it a starting point.

Unbinding the Equation: Choose Your Anchor

The fix requires a genuine act of strategic discipline that most venture processes never ask for: consciously unbind your combined framing and decide which side of the equation is your true anchor — the problem or the innovation — and hold the other side open.

If you’re anchoring on the innovation, the discipline is to describe it as a structural mechanism, stripped of all narrative and application context. Not what it enables — that immediately reintroduces the application side and collapses the search space again — but what it fundamentally is and does.

A wildfire detection startup’s mechanism, properly abstracted, is a heat-activated organic electronic signal generator: deployable by aircraft, zero-maintenance, applicable to any thermal detection context. That’s an anchor. “The operating system for modern snacking,” built on proprietary formulation expertise and managed co-packer relationships, is not. One represents a step-change capability that stands independently of any specific use case. The other can’t be meaningfully described without its application.

If you’re anchoring on the problem, the discipline is right-sizing: defining the condition at the broadest level that remains actionable.

“Poverty” is too broad to generate useful commercial starting points. “Low-income Black families suffering bankruptcy from medical debt” imports demographic constraints that limit the opportunity without adding commercial precision. “Low-income families experiencing financial collapse from health-related costs” is both broader and more commercially useful, while remaining specific enough to anchor a genuine impact case search.

Whichever anchor you choose, the rule is the same: hold it, and leave the other side genuinely open. The moment you reintroduce the opposite side before completing the analysis, you’ve returned to the original sin.

Mapping the Landscape: The Prime Commercial Opportunity

With an anchor established, the question becomes: how do you systematically map the commercial landscape to find the global maximum rather than the nearest local peak?

The methodology we’ve developed and deployed—built through the Built To Hold Lab, a collaboration between Half Solved, Cornell University, and INCOSE—centers on what we call the Prime Commercial Opportunity, or PCO: the broadest possible use case for a core functionality, or the broadest possible impact case for a pervasive societal problem, that can most credibly generate the at-scale cash flows needed to pay back all required investment capital at a competitive rate of return.

Three phrases in the PCO definition do real work.

  • “Broadest possible” means the highest-level use or impact case that preserves the core value of the innovation without importing premature constraints.
  • “Most credibly” introduces financial discipline at the very start of the process — not as a filter applied after traction, but as a constitutive element of what makes an opportunity worth pursuing.
  • And “use cases” are not market segments: a segment is a slice of a known market, while a use case is a fundamentally different context of application that may yield entirely different economics.

The process follows four steps, typically completed in one to two focused weeks:

  1. Set destination criteria first (investment parameters, target returns, geography, industry),
  2. Abstract or right-size the anchor,
  3. Generate use and impact cases without segmenting, and
  4. Calculate a required price on each case by working backwards from the investment parameters to derive what customers would need to pay.

The question then isn’t which TAM is largest — it’s which required price the use case can most credibly command, and whether the urgency of that use case justifies it before a dollar is spent.

Lean doesn’t optimize your starting point

Our work with dozens of startups, corporate studios and incubators required us to question the starting-point assumption lean startup quietly endorses: the right first move is to identify a beachhead—the customers most accessible to the founder—and begin iterating from there.

Early adopters are drawn disproportionately from the innovator and visionary segments of any market, people who want novelty and will tolerate rough edges the mainstream never will. Designing your product, pricing, and business model around them is a commitment to local maximum thinking.

The beachhead is not a launching pad. It’s a design constraint, imposed before you have any information about whether the broader landscape contains better commercial territory.

“Lean startup might help you reach the top of the hill you started on. What it was never designed to do is help you choose which hill to start on.”

Who This Applies To

The starting point problem isn’t exclusive to early-stage founders.

  • Corporate strategists deploy customer research before deciding which opportunity spaces to explore—which means they’re validating specific directions rather than discovering the best ones.
  • Technology transfer offices almost invariably anchor on the most visible application of a new mechanism, which is almost never the most commercially viable one.
  • Investors can apply the required-price framework as a credibility screen: strong traction in an opportunity space that can’t support the required economics isn’t a strong investment signal, regardless of team quality.
  • Social enterprises face the same challenge with different vocabulary—and the PCO process regularly surfaces commercially sustainable impact cases that pure mission-driven analysis overlooks.

The Question That Comes Before All Others

Location is everything in real estate—not because it matters more than the quality of the building or the skill of the operators, but because it establishes the ceiling on what any of those things can achieve. Ventures work the same way. A venture located in a commercially fragile opportunity space cannot be rescued by better climbing. The ceiling is the ceiling.

Before your next sprint, before your first customer interview, before your next pitch, ask yourself one question: did I choose my starting point, or was it chosen for me by the shape of the idea I walked in with?

If you can’t answer that question confidently, you haven’t yet made the most important decision your venture faces.


Want to go deeper?

A full paper describing the PCO — including detailed methodology, worked examples across biotech, food, medtech, and autonomous systems, and the complete Required Price calculator — is available on request. If you’re a founder, corporate innovator, technology transfer professional, or investor interested in applying the Prime Commercial Opportunity process to a real venture decision, we’d welcome the conversation.

Reach out to Half | Solved to request the full paper or to develop a capability within your own organization.