One reason some startups exist: how do you allocate engineers to problems where incumbents either can’t achieve organizational conviction to allocate engineers or couldn’t attract sufficiently productive engineers to matter.
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Repeatable way to find startup opportunities: look for large organizations with important problems that really need to hire 10 people who know what a for loop is and implement their recommendations but have a deeply felt reason why they can’t do that.
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Five years from now they’ve got three options: rethink how they make decisions, buy the startup and almost inevitably kill it for the same reason they couldn’t do it internally, or compete with the startup. (Not a given they’d lose the competition but risk-adjusted ROI is great.)
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Are there examples of this that have succeeded in the last decade?
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Mailchimp - for sub in subscribers... Stitch Data - for record in records... Datanyze - for js_snippet in web_pages...
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Hello, clinical analytics for healthcare...
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Dress code is a proxy for power
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