A computer scientist’s hunt for Hard Problems | Sriram Kannan @ Routematic
A computer scientist’s hunt for Hard Problems | Sriram Kannan @ Routematic
Have you heard of the travelling salesman problem?
Imagine that a travelling salesman needs to visit several cities and then return to the origin point. This is a notoriously complex problem for computer science to solve, and the more the number of cities there are, the exponentially harder this problem becomes.
But some people are attracted to exponentially harder problems the way bees are attracted to honey. And one such founder is Sriram Kannan.
Sriram is a hands-on computer scientist who solved complex security problems for Texas Instruments when he became an accidental entrepreneur. 17 years later, he is still consistently looking for harder and harder problems to solve as an entrepreneur.
The problem Kannan is currently solving is the problem of employee transport.
How do you build a platform that allows companies to provide safe and convenient transportation to their employees while minimising the number of vehicles needed to deliver this?
In our freewheeling conversation, Kannan shared some amazing insights from his journey of solving problems at scale as a tech entrepreneur.
Other Ways to Listen:
Watch the entire conversation on YouTube
Additional readings:-
1.Routematic bets on artificial intelligence to tap corporate commuters
2.Meet Routematic, a startup solving your daily office commute problems
3. App-based, exclusive office commute cabs enter city
4.Routematic makes corporate commutation stress-free
5.Meet Sriram Kannan, an architect of no-GPS tech, who's Uber-ising employee transportation
Before you go……the analytics only tell me so much, I want to hear what you feel and think about the conversations.
Mail me at ad@thepodium.in with your comments & feedback or if you just want to hear my comments on your startup idea - I love getting your emails!
Until the next founder's thesis📕,
Your host, AD