Show Notes
In this episode, a16z Partner Seema Amble chats with Tomer London, co-founder of Gusto, about establishing product-market fit and product discovery. London shares how Gusto, now valued at ~$10 billion with 300,000+ customers, identified early customers who could provide valuable feedback that helped the team optimize the self-service product experience. The conversation explores Gusto's approach to product development, as well as managing and incorporating customer feedback while maintaining a clear product vision.
More from a16z Live
What if the biggest lever for improving U.S. healthcare isn’t clinical, but operational?
Drawing on his early days building Facebook’s News Feed to his work today on smart glasses and AR headsets, Meta CTO Andrew Bosworth joins a16z Growth General Partner David George to share how he's translated emerging technologies into products people use and love. He also explores how breakthroughs in AI and hardware could turn the existing app model on its head, introduce entirely new competitive dynamics and business models for startups, and usher in a post-mobile phone era. If we get it right, Bosworth says, the next wave of consumer tech won’t run on taps and swipes—it’ll run on intent.
Just as mobile, cloud, and social shaped the internet of the past 20 years, so too could crypto, AI, and new hardware usher in an era of the internet that’s pro-innovation, pro-startup, and pro-creator. Speaking with a16z Growth General Partner David George, a16z crypto Founder and Managing Partner Chris Dixon breaks down his vision for a new internet, from using crypto to decentralize AI infrastructure and kickstart network effects, to why AI will be this era’s native form of media just as film was in the 1930s.
Anduril reimagined how startups can build software and hardware for the defense sector. Now, they're using AI to reimagine modern warfare.
How does a company as massive as Mastercard decide where to deploy AI? Instead of centralizing every AI initiative, Mastercard operates under a “hub and spoke” model — balancing centralized AI leadership with decentralized innovation across business units.