Men and women who have spent decades in prison are being released into an iPhone-enabled world that they hardly recognize. Shaka Senghor is one of those people, imprisoned at age 19 for second-degree murder and released almost two decades later in 2010. “It was like Fred Flintstone walking into an episode of the Jetsons,” he tells Ben Horowitz in a conversation about his book, Writing My Wrongs: Life, Death, and Redemption in an American Prison. Today, Senghor is an activist, advocate, and mentor for young men and women who find themselves on the same troubled path he took. This episode of the a16z Podcast covers Ben and Shaka's conversation about healing, humanity, and redemption -- especially if you believe that it's how you finish, not just how you start, that matters.

If network effects are one of the most important concepts for software-based businesses, then that may be especially true of data network effects -- a network effect that results from data. Particularly given the prevalence of machine learning and deep learning in startups today. But simply having a huge corpus of data does not a network effect make! So how can startups ensure they don't get a lot of data exhaust but get insight out of and add value to that data and the network? How can they make sure that the (arguably inevitable) data aspect of their business isn't just a sideshow or accident? How should founders strike the balance between not overbuilding/ building a data team vs. having enough data for those data scientists to work with in the first place? And finally, what are the ethical considerations of all this? The a16z general partners most focused on bio and fintech -- Vijay Pande and Alex Rampell -- join this episode of the a16z Podcast to share their observations and advice on all things data network effects.