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My top essays/tweetstorms in 2019 on product/market fit, investing, KPIs, YouTubers, and more

Andrew Chen

Magic metrics indicating a startup probably has product/market fit. 5) market-by-market (or logo-by-logo, if SaaS) comparison where denser/older networks have higher engagement over time (network effects). The product launch. 1) cohort retention curves that flatten (stickiness). 3) viral factor >0.5

article thumbnail

My top essays/tweetstorms in 2019 on product/market fit, investing, KPIs, YouTubers, and more

Andrew Chen

Magic metrics indicating a startup probably has product/market fit. 5) market-by-market (or logo-by-logo, if SaaS) comparison where denser/older networks have higher engagement over time (network effects). The product launch. 1) cohort retention curves that flatten (stickiness). 3) viral factor >0.5