Make sure you get your regulatory strategy in place earlyRead more...
No. 1 mistake: If you don't make a start, you'll never achieve it
Vator’s community is the home to entrepreneurs who embrace their passion and follow their dreams. Our profiles allow members to express themselves by sharing their interests, lessons learned, as well as bits and pieces of their roller-coaster journey.
These profiles give entrepreneurs an opportunity to showcase themselves and tell their story. So if you are an entrepreneur, a serial entrepreneur, or even an aspiring entrepreneur, we'd like to hear from you.
I am a(n):
Companies I've founded or co-founded:
FastMail, Optimal Decisions
Startups I worked for:
If you are an entrepreneur, why?
I want to invent something cool.
My favorite startups:
Kaggle, Airbnb, Square, StackExchange
What's most frustrating and rewarding about entrepreneurship/innovation?
It's frustrating to have so many ideas but only so many hours in the day to make them happen. Can someone please invent a machine where I put my idea in one end and a startup pops out the other end?
But it's rewarding to being doing what you believe in, with people you believe in. I could never work for a big old stodgy corporate again.
What's the No. 1 mistake entrepreneurs make?
Most hopeful entrepreneurs I meet haven't yet taken the first step: to actually quit their job and start following their dream. If you don't make a start, you'll never achieve it.
What are the top three lessons you've learned as an entrepreneur?
- Don't give up.
- Never stop learning
(Want to be profiled? Just fill out your Vator profile and we'll find you! Or you can email firstname.lastname@example.org)
Read more from our "Today's Entrepreneur" series
I wanted to create a lasting impact in the worldRead more...
Hire people that are better than me at their functions. Listen to them. Empower them.Read more...
Related Companies, Investors, and Entrepreneurs
Joined Vator on
Kaggle is a platform for data prediction competitions that allows organizations to post their data and have it scrutinized by the world's best data scientists. In exchange for a prize, winning competitors provide the algorithms that beat all other methods of solving a data crunching problem. Most data problems can be framed as a competition.