The Efficiency Trap

Last week I wrote about founders stuck in the middle - companies with real traction but not enough to raise a Series A in today's funding environment. I mentioned a pet-tech company in our portfolio that raised their seed round in 2022. Solid product, experienced team - the environment suggested their next round was 18 months away.

So they moved fast and made efficient decisions. In-house UK team instead of contractors - keeps knowledge in the company. All growth investment behind one channel that was working - smart use of limited attention. Lean team with no redundancy - efficient use of headcount. Every dimension optimized for the same scenario: the world where the next round arrives on schedule.

By mid-2024, that world had disappeared. The next round wasn't coming - not at terms that made sense. And because they'd built a UK-based team, employment laws limited how quickly they could cut costs. The single channel they'd mastered wasn't moving fast enough. Everything that had been efficient became a constraint.

The problem wasn't any single decision. It was that every decision was optimized for one future.

Efficiency Versus Resilience

That story illustrates a tension that doesn't get discussed enough. Efficiency means optimizing resources for your most likely scenario. Resilience means allocating resources to scenarios you hope won't happen. They pull in opposite directions. Every dollar spent preparing for a bad scenario is a dollar not spent pursuing the good one. Every hour spent on contingency planning is an hour not spent executing the primary bet.

Startups are resource-constrained. Efficiency isn't optional - it's survival. But efficiency creates concentration. And concentration creates fragility.

The question is where on that spectrum you sit. And whether you've chosen it deliberately or backed into it without noticing.

The Many Faces Of Concentration

Efficiency shows up in multiple dimensions. Each is reasonable. Each creates corresponding exposure.

Management attention. This is the scarcest resource in any startup. The advice to focus relentlessly makes sense - you can't do everything. Go deep on one problem, one customer segment, one product. The exposure: when that bet is wrong, you've built nothing transferable. No adjacent knowledge, no relationships in other segments, no fallback position.

Capital allocation. Every dollar behind your best thesis. No experiments, no hedges, no Plan B funded. Efficient - until the thesis fails and there's nothing else to try. One founder I work with keeps 15% of budget in "exploration" - small bets on adjacent problems that might become the main thing. His board hates it. But when his primary market softened last year, one of those small bets became the pivot that saved the company.

Customer concentration. Fewer, larger customers means better unit economics, less sales overhead, deeper relationships. Efficient - until one contract churns and 40% of revenue disappears overnight. Research suggests single-customer concentration above 10-15% of revenue is a warning sign. Above 30% is genuinely dangerous.

Distribution. Master one channel deeply rather than spreading thin across many. Efficient - until the platform changes the rules. Instagram's algorithm shifts earlier this year caused some creators to drop from $85K monthly revenue to $12K. One policy change at a company you don't control, and your entire acquisition engine is gone.

The pattern: concentration feels like focus. And it is focus. But focus on one scenario is also a bet that the scenario will happen. When every dimension is optimized for the same future, you've built a company that can't absorb a single surprise.

How We Train Ourselves Not To See This

In my years as a board member, I've noticed something: CEOs rarely bring up downside scenarios unprompted. The "what if this doesn't work" conversations usually come from experienced board members - and even then, founders often treat them as obstacles to manage rather than problems to solve.

I get it. From the first pre-seed pitch deck onwards, founders are trained to talk about upside. You model the good case, the better case, and the best case. You explain why this will work - not the twelve ways it might fail. That mindset is necessary to get funded, to recruit, to keep going through the hard parts. But it doesn't naturally produce contingency thinking. (Besides, nobody wants to be the person at the board meeting asking "what if everything goes wrong?" Not exactly a confidence-builder.)

These habits were less dangerous when funding was abundant. Capital was cheap, rounds were fast, there was always another investor. Sequoia's May 2022 "Crucible Moment" presentation marked the shift - warning portfolio founders that cheap capital had ended. Since then, seed-to-Series A conversion rates dropped from roughly 30% to about 15%. Time between rounds stretched from 18 months to over 25.

Concentration risk was bearable when there was always another round. That assumption broke.

What Mineral Exploration Taught Me About Hedging

I spent several years building a mineral exploration company - copper in Chile. It's a business where you're always balancing commitment against uncertainty.

The conventional wisdom says: pick your best target, drill deep, prove the deposit. Focus. Efficiency. But experienced exploration teams never bet everything on one site. They maintain a portfolio of prospects at different stages - some in early assessment, others in active drilling, a few in reserve. Each site gets enough resources to advance, but not so much that a dry hole ends the company.

The parallel to startups isn't exact - exploration operates on longer timescales with different capital structures. But the underlying tension is the same. You need conviction to commit resources. You also need optionality to survive being wrong. The best exploration managers I worked with held both simultaneously - fully committed to their primary thesis while quietly maintaining alternatives.

Founders often treat these as contradictory. They're not. They're complementary - if you budget for them deliberately rather than hoping you won't need them.

The Antifragile Advantage

Here's what I've noticed about companies that get through difficult periods: the best ones don't just survive the shock - they actually come out stronger.

Nassim Taleb calls this "antifragile" - systems that don't just withstand stress but actually benefit from it. Muscles that grow from strain. Immune systems that improve from exposure. Companies that emerge from crises better than before.

I've seen this pattern repeatedly. Customer churns, forcing you to build acquisition muscle you'd been avoiding. Channel dies, forcing platform-agnostic distribution you should have built earlier. Key person leaves, forcing documentation that reduces future dependency. Funding falls through, forcing unit economics discipline that makes the business actually work.

The question isn't just "can we survive if something breaks?" It's "can we learn from it and come out stronger?" That's a different kind of preparation - and a different kind of company.

But you can't build antifragility by accident. It requires deliberate choices about where to accept concentration and where to insist on alternatives.

The Exercise That Matters

The honest answer: you can't build contingencies everywhere. Resources are too scarce. The question is identifying the one or two places where concentration would be company-ending - and protecting those, even at the cost of efficiency elsewhere.

Here's the exercise I walk through with founders:

First, map your concentration points. Where are you exposed? Single customer above 15% of revenue. Single channel driving more than 60% of acquisition. Single person holding critical knowledge. Single investor relationship you're counting on.

Second, run the scenario. For each concentration point, imagine it breaks tomorrow. The customer churns. The channel disappears. The person leaves. The investor passes. What happens to the company?

Third, sort them. Some of these you can recover from - painful, but survivable. Others would be terminal. That distinction matters more than anything else.

Here's the decision framework: For exposures you can recover from, go ahead and optimize for efficiency. The upside is worth the risk. For exposures that would end the company, budget for contingencies - even if it feels like wasted resources in the good scenario. Because in the bad scenario, that "waste" is what keeps you alive.

One more thing: do this exercise at 12 months runway, not 6. Contingencies require resources to build. Wait until it's urgent and you've already lost most of your options.

Back To The Pet-Tech Company

That company optimized for efficiency across every dimension - for one scenario. When it didn't materialize, their options had narrowed to almost nothing.

Another founder in our portfolio took a different path. In early 2023, when runway was still comfortable but the funding environment was clearly shifting, he cut 40% of his team. It seemed aggressive at the time. Honestly, I wasn't sure he was right.

But he'd identified the dimension where he couldn't afford to be wrong: runway. He could survive mistakes in product direction, in channel selection, even in key hires. He couldn't survive running out of money before the next round. So he created room to maneuver there - and used that breathing room to pivot from B2C to B2B, emerging with a model that actually worked better than before.

The difference wasn't intelligence or foresight. It was asking the right question: not "what's my most likely scenario?" but "where can I not afford to be wrong?"

That's worth asking before circumstances force the answer.

I help founders navigate strategy and funding decisions when the path isn't clear. If you're there, let's talk.