Key Takeaways

  • Byron Ling has evaluated roughly 30,000 founder meetings over the past decade at Twelve Below.
  • Underwriting giant outcomes based on what modern tech giants look like today creates flawed pattern recognition.
  • Michael Moritz backed Instacart after Webvan collapsed because market conditions shifted, proving historical scar tissue can blind investors to winning categories.
  • Early-career venture investors often default to risk-off postures, but rapid early failure builds sharper pattern recognition.

The Input Problem in Mega-Cap Underwriting

Ling points out that many venture investors analyze trillion-dollar companies by studying their current forms rather than their earliest moments. When looking at foundation model labs or SpaceX, modern analysts see capital moats, scaled infrastructure, and market power. That is the wrong analytical lens.

As Ling observed: “People are considering outcome size as the input. And I think what you need to think about is what are the inputs of those companies that eventually become $100 billion or trillion dollar companies.”

Early on, outlier businesses rarely resemble the juggernauts they eventually become. In their initial stages, they are frequently misunderstood, unloved, or dismissed by consensus capital. Looking at what SpaceX is today tells an allocator nothing about why SpaceX worked when it had three failed rocket launches and was weeks away from insolvency.

“If people are talking about the foundation models or companies like SpaceX, being a student of history is really important and really not looking at what those companies are today, but what were they like in the earliest stages and saying, 'What are the patterns I can learn about those companies where they were likely in many cases underappreciated or not appreciated by the market at the time?'” Ling explained.

The Cost of Historical Scar Tissue

Experienced investors often carry memory that degrades forward-looking judgment. An investor who lost capital in an early grocery delivery implosion might refuse to look at the sector for twenty years, ignoring changes in smartphone penetration, logistics density, and consumer habits.

Ling points to Michael Moritz at Sequoia Capital as a rare counter-example. Moritz experienced the catastrophic public collapse of Webvan during the dot-com crash, yet had the discipline to back Instacart at the early stage years later.

“I think it was Michael Moritz from Sequoia like to have the fortitude to do Webvan, see that through, and then make the early investment in Instacart again,” Ling noted. “I actually don't think a lot of people would do that. I think it requires you to kind of reinvent yourself, open up your mind, and sort of say, do Are you taking the right lessons from it as opposed to the lesson of just don't reinvest in that category again.”

Past losses convince firms that a business model is broken when, in reality, only the timing or infrastructure was wrong. Ling summarized the danger: “You can be mired in scar tissue from the past, but if the world is totally different as it is today compared to 5 years ago, you may miss the best opportunities because you're so focused on it not working again as opposed to well, what has changed in the world?”

Building Judgment Through Early Velocity

For newer deal professionals, risk aversion often masquerades as discipline. Young investors frequently attempt to avoid mistakes by passing on unconventional pitches, but that instinct slows their development.

“Just take more risk,” Ling said. “I think when you're starting out, it's always easy to worry about the investment that won't work or you're just you're more risk off cuz you're really, but risk is how you learn and more importantly, if you fail a lot quickly, you might actually become a better investor.”

Judgment does not come from observing winning deals from the sidelines. It comes from making early commitments, observing why edge cases fail or succeed, and building a mental catalog of unappreciated inputs.

Why It Matters

This dynamic explains why institutional allocators frequently overpay for late-stage consensus while missing early inflection points. When venture firms underwrite present-day scale instead of unappreciated early traits, they price assets at peak multiples right before commoditization sets in. The firms that capture asymmetric upside are those capable of separating broken structural unit economics from ideas that simply arrived before the supporting technology existed.