Working hard in a world where you have computers seems like a failure of imagination to me.
I dropped out of my first PhD to join a startup.
While I was doing the PhD, however, I had plenty of time to get coffee with colleagues and talk about research.
And this was for one simple reason – my computer busy working for me.
I inherited a codebase in c of around 4,000 lines.
I cut it down to 100 lines in python.
And then I built a pipeline – the computer started with a model, did an initial pass to reduce compute time, and then worked through complex calculations on a computing cluster my colleague built. When the calculations were done, and the results were formatted and pulled together.
Yes, you could work hard at each of those steps and it would take days or weeks – or you could use a machine and get it done in three hours.
And this isn’t new stuff – we’ve had the tools for around 40 years now.
I’ve used the same approach again and again, and we do the same thing in our latest business.
Raw data is entered in spreadsheets. Computers do a series of tasks and clean and usable outputs pop out the other end.
Most systems on the market give you more work to do.
Our systems do the work for you.
Handcrafted insight 