Today’s tech startups are evolving to be smaller, more specific, personally funded, yet highly profitable. Companies such as Headlime, ConvertKit, Fathom, and Transistor are hyperspecific in scope and small in scale; all of them regularly hit six to seven figure revenues every year with only a handful of people. Their specificity makes it easier for them to finetune their products ー making them very good at what they do ー and to carve out a niche for themselves.
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An artificial intelligence model built by Ishanu Chattopadhyay and his colleagues analysed crime data in Chicago from 2014 to 2016 and managed to predict future levels of crime down to the nearest 300 metres, a week before they actually happened. While extremely useful, this artificial intelligence has been shown to expose racial prejudice in law enforcement. Hopefully, as the study’s data and methodology have been made available for others to evaluate, these prejudices can be avoided in the next iteration. Read full article here