Every venture firm claims it finds what other firms miss. Almost none will say precisely where they think the market is broken -- because for most, the honest answer is that they don't know, and the pitch is doing the work the thesis can't. Three real, currently active firms don't have that problem, and each one names its edge specifically. Alsop Louie Partners recruits undergraduates -- some starting as young as 19 -- as campus scouts, betting the best information about what's being built sits with the people closest to the building of it.^[1] Precursor Ventures backs unproven, first-time founders before there's a product, betting the real mispricing lives at the exact stage most institutional risk tolerance won't go.^[2] WOCstar Fund runs on an explicit "female arbitrage" thesis: women of color founders are systematically underinvested, and that mispricing is the fund's entire source of edge.^[3] Three theories, all currently true, none needing the other two to be wrong.

But the theories aren't why the money is actually there

Gilman Louie, Alsop Louie's co-founder, was the founding CEO of In-Q-Tel from 1999 to 2006 -- the institution I came up inside starting in 2003.^[4] He read me directly for a placement at the Aspen Institute years before either fund existed, on the belief that the room needed to be worthy of the person, not the other way around. Charles Hudson, Precursor's founder, is someone I overlapped with at IQT directly -- not a fund I diligenced cold, a person I called while the idea of Osparna was still just an idea, using him as a sounding board during the firm's actual gestation. Gayle Jennings-O'Byrne, WOCstar's co-founder, I simply know. And WOCstar's own most recent fund investment, independent of any of that, went into FilmHedge -- a company I already have a direct relationship with through its founder, Jon Gosier, from TED.^[5]

None of that is diligence. All of it is the actual reason the checks exist.

Which is the real shift underneath the theories

Data gets cheaper every year. Diligence gets more automatable every year. A dataset that used to be a moat is now a subscription. What doesn't get cheaper, and can't be automated at any price, is decades of proximity to specific people -- someone who read you correctly once, someone you called before anyone else knew there was anything to call about, a fund that happens to sit one hop from a company you were already in. As the informational edge commoditizes, the network edge is the one thing left standing. That isn't a sentimental claim about relationships mattering. It's a structural one: the more efficient information markets become, the more the actual return runs through who already trusted whom, before the thesis ever had a name.

Why backing all three isn't a hedge

It would be a hedge if only one of the three theories could be correct and the money were spread to cover the risk of guessing wrong. That isn't what this is. I have money in all three of these funds. Proximity-to-information, earliest-stage risk tolerance, and demographic mispricing aren't competing explanations for the same phenomenon -- they're three different, simultaneously real cracks in the same market, and backing people you trust at each one isn't uncertainty. It's the same conviction the rest of this site runs on: no one of these has to lose for either of the other two to be right.

Why does this matter? "Find what everyone else missed" is the universal pitch, and it's close to meaningless on its own. What actually separates a real edge from a slide deck is a falsifiable claim about exactly where the market is wrong, held by someone with an actual, checkable relationship to the people testing that claim in the field -- not a thesis borrowed from the last fund that raised well. And these three aren't a closed list. The honest expectation, given how the rest of a career like this actually works, is that there are more positions in the same shape sitting in the same portfolio, not yet connected out loud. The argument doesn't depend on the count being three. It depends on the mechanism being the same one, however many times it turns out to repeat.

Part of the same thread: "Three Venture Firms, Three Completely Different Theories of Where the Market Is Wrong," and "No One Has to Lose."