Lessons from the Early Days at Uber and Advice for Founders with Kevin Novak
Apr 5, 2024
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Former Uber employee and founder of Rackhouse Ventures, Kevin Novak, shares insights on developing surge pricing at Uber in just three weeks, advises founders to start with first principles thinking, cautions against falling in love with one idea too early, and discusses the challenges and strategies for AI startups in a competitive market.
Start with first principles thinking in decision-making, collect data strategically for future insights.
Remain flexible in idea selection, experiment with multiple concepts before committing to one for success.
Deep dives
Kevin Novak's Background and Motivations for Investing
Kevin Novak, a former data science leader at Uber, discusses his transition to investing. After accumulating expertise in data science and startup building, he was inspired to contribute his knowledge to the next generation of AI companies. His academic background as a nuclear physicist shaped his data science approach.
Evolution of the Title 'Data Scientist'
The discussion shifts to the emergence of the title 'data scientist.' Kevin Novak recalls notable figures like DJ Patil and Jeff Hammerbacher leading this domain. He highlights the origin of the title, referring to his early days at Uber when the term gained popularity.
Data Science Challenges at Uber
Kevin recounts his experiences at Uber, where he grappled with challenging projects such as implementing dynamic pricing. He emphasizes the rapid pace of execution at Uber, contrasting it with the slower academic environments. Kevin's role involved innovating solutions and launching features within a short timeframe.
Lessons on Team Building and Problem-Solving
Kevin reflects on building effective engineering teams at Uber, emphasizing the need for employees with diverse skill sets. He underscores the importance of creating systems that support individuals in overcoming challenges. The conversation delves into the value of agility, adaptability, and collaborative problem-solving in a startup environment.
We're excited to launch a new EIR program for data science founders in partnership with Rackhouse Ventures, founded by Kevin Novak. Learn more about the program: https://www.villageglobal.vc/rackhouse-village-global-eir-program
Kevin Novak (@novakkm), an early Uber employee, was instrumental in developing their data science program and was the creator of surge pricing.
Highlights:
- Kevin, originally a nuclear physicist, applied his analytical skills to develop Uber's first surge pricing model in three weeks—a task that would typically take six months in academia.
- He says that founders shouldn’t wait until they have plenty of data to make decisions — instead, start with first principles thinking while also building a virtuous data cycle by ensuring you are collecting data that will inform future decisions.
- He comments that AI might be “overhyped on average” at the moment. The first breakthrough product is essentially an API, which has led to incumbents responding more quickly and more aggressively. Kevin argues that if you are founding a generative AI company, you are effectively making the claim that incumbents won’t be able to respond and implement an LLM themselves.
- Kevin cautions founders not to fall in love with any one idea too early. It’s better to hedge your bets and experiment with one or two. Through trial and error, you can eventually decide on one idea that has the potential to be a strong business.
- For the Village Global-Rackhouse EIR program, we’re looking for founders with deep passion for founding a company. We don’t require you to have your idea and team established.
Thanks for listening — if you like what you hear, please review us on your favorite podcast platform.
Check us out on the web at villageglobal.vc or get in touch with us on Twitter @villageglobal.
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