Predicting who in a group of 1.5 million technology professionals is likely to start a company presents an unsupervised learning problem. Short of contacting all 1.5 million people and asking them, there is no way to confirm whether the predictions the system made are correct, so you cannot make claims about efficacy.
There are approaches used to deal with unsupervised learning problems, but there are no details in this post even indicating that the folks involved recognized they were dealing with an unsupervised learning problem in the first place. Instead, we just have claims like "While we believe the future founders group has a 17% chance — 25x higher..." for which no further information is provided.
Perhaps more interesting than the bold claims sans important technical details is the notion that an early-stage fund would look to court potential founders before they even made the decision to become founders. While it's true that many seed stage investors adhere to the mantra of "we invest in people," this is as good an example as I've seen of the fact that there is currently way too much capital chasing too few opportunities.