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Data has long been lauded as a competitive moat for companies, and that narrative’s been further hyped with the recent wave of AI startups. Network effects have been similarly promoted as a defensible force in building...
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We’ve defined network effects — from what they are and aren’t to how to measure and manage them in practice — but network effects have still always been hotly debated: Where are they, are they rea...
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Some of the most successful companies and products — from the phone era to the internet era — have all been predicated on the concept of network effects, where the network becomes more valuable to users as mo...
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When designing cryptonetworks — really, emerging economies — how do we avoid some of the monetary and fiscal policy failings of “real-world” economies? Like not separating currency and capital, wh...
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Veterinary oncology can inform human oncology, and vice versa — providing a better model for looking at drug performance, interrelationships, and more. Especially when you add in data (there’s no “doggy...
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This conversation between the members of a16z’s bio team — including general partners Jorge Conde and Vijay Pande; Malinka Walaliyadde; and Jeffrey Low (the interviewer) — takes a quick pulse on where w...
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A lot of machine learning startups initially feel a bit of “impostor syndrome” around competing with big companies, because (the argument goes), those companies have all the data; surely we can’t beat t...
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“We live in a world where we use millions of variables to predict which ad you’re going to click on. Whether or not you deserve to get a loan. What movie you might watch next. But when it comes to our bodies ...
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Once we sequenced the human genome, we’d know the cause of — and therefore be able to help cure — all diseases… Or so we thought. Turns out, 20,000 genes (and counting) didn’t really explain...