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The biggest difference not captured here In Academia (at-least in CS where I did a PhD), you have to be working on a novel idea. It doesn't matter how many peo
by soumyadeb 6y ago
The biggest difference not captured here
In Academia (at-least in CS where I did a PhD), you have to be working on a novel idea. It doesn't matter how many people actually care about the problem you are working on and/or will be impacted - as long as the idea is new and you are the first one.
Completely opposite in the startup. The problem has to be relevant. It doesn't matter if 5 other startups before you have worked on a similar problem - as long as you can out execute them.
This switch requires some serious "unlearning"
- blackbear_ 6y agoTrue. Another difference is that in a stratup you get frequent and continuous feedback about your idea, and as long as you manage to adjust accordingly you have good chances to survive. In academia, instead, there can be gaps of years between starting an experiment and seeing the first results, so "moving slowly" and "de-risking each step" is really the only way to achieve anything.
- ackbar03 6y agoYes this is my impression as well. From my (extremely limited) experience, I feel that as a startup you want to be working with tech/tools of 50-75% of the complexity that you are able to handle and work with. You (probably) don't want to be working right up against cutting edge unless you are very confident about it or your unequivocally an expert. Otherwise all the variance and errors that come with running a startup is just going to render your product/service/whatever unusable