I'm taking a big risk here, so using a throwaway account.We (investors) took a slight loss on this one.<p>All I can tell you is the exit was at around 12 MIL. Ca$h and a small amount of stocks for a few stellar engineers (I think 7 or so).<p>This was an Acqui-hire. From what I hear, Google was pursuing some individuals for over 2 years.<p>Sorry, don't ask me follow up questions.
Pretty hard to know unless someone has inside knowledge.<p>You can take a point of reference from the funding history - <a href="https://www.crunchbase.com/organization/kaggle#/entity" rel="nofollow">https://www.crunchbase.com/organization/kaggle#/entity</a>
$11M Nov 2011 followed by 1.75M in Sept 2015. The first was an amazing raise for their stage. Obviously pretty smart people and an area people wanted a part of . Appears the later was a bridging round as it's been tagged Series A like the first.<p>They laid off 1/3 staff earlier in 2015:
<a href="https://www.wired.com/2015/02/data-science-darling-kaggle-cuts-one-third-staff/" rel="nofollow">https://www.wired.com/2015/02/data-science-darling-kaggle-cu...</a><p>That was 7 of 20 roles. They're now more like ~80 employees, according to LinkedIn. However, admittedly a lot aren't tagged right (investors, advisors, interns and people associated with Kaggle). Either way, appears the pivot in 2015 worked.<p>So you can straight-line from there. That's circa 3-5x employee growth over 3 years, which you can conjecture at least has a relationship with actual growth. That's not too shabby either. With growth over that timeframe and stage you'd probably be more interest in the story over the last 6-12 months, which is harder to gauge. It may have plateaued, it may have spiked.<p>So if you anchor the Series A at, say, 20% of the value. Then multiply out growth, then put a multiple on that you're looking at 100 at the low end and maybe 500 at the high-end. Likely somewhere square in the middle.<p>That's guesswork, but gives a ballpark view.