There are two places to find new ideas: places no one has looked before, and places where people have looked, but not hard enough. Kids are taught that big ideas come from the former, but the latter may actually be more promising.
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The 'talent stack' applies here too - looking where people have looked before, but with a different filter of experience. (I think this is also part of a good VC's value - "I saw something in a very different context that could apply here" etc)
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This can be a matter of field of view too - sometimes the successful idea can be zooming right in and making a single detail work much better, sometimes zooming right out and seeing how to connect two areas in a novel or more effective way.
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Also: Stripe
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Spending time with other languages (it's R this week) always make me appreciate how much more productive I would be if I could just do the task in Common Lisp, but occasionally the value of non-Lisp libraries outweigh the costs of using them (ggplot2, I'm looking at you).
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I see serious innovation often coming from "connectors" rather than brainiacs. So ask the guy who always knows a "guy" - what he sees coming next.
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Python has borrowed some great ideas from Haskell :)
End of conversation
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Examples? Rogaine - minoxadil failed hypertension trials Viagra - sidenafil failed angina trials many more . . .
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thats true for almost all investors tackling the climate change, not hard enough!
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Lisp is actually an area where people already looked at and did find better solutions in the form of Haskell in the early 90s. A solution which moreover has kept steadily improving since and shows increasingly strong momentum.
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Lisp have influenced pretty much all languages which came after it, not just Haskell. It still makes sense to take ideas from Lisp when you're building something new. For example, few years ago I made a new language for smart contracts. I spent exactly 0 hours on making
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