Remember: first you build the product, then you get the users, then you get the data, then you build the machine learning shit
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can't think of any successful company doing that except Google and a lot of acqui hired ones
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for most apps product quality is the big differentiator early on. ML matters very late stage when features have become tablestakes
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eg in 2008 low latency music distribution was hard and Spotify's USP. trivial problem now and that's why music recs matter instead
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