A16z Podcast

Every big technological shift (per Carlota Perez) brings with a structural shift too — an “institutional adjustment” in how companies innovated and build new products, according to Steve Blank and Evangelos Simoudis. Large organizations used to (and continue to) set up remote R&D labs in places like Silicon Valley. But now, those companies are also investing more energy and resources in setting up corporate venturing arms and/or “innovation outposts” in such startup ecosystems — especially as they believe that startup-driven innovation is one of the best ways to keep up with and address disruption in their industries. But… it’s not enough to simply establish a presence in these places; how do you also “sense” and respond to the right opportunities? Are they in the right places? Does beginning with corporate venturing really work for such outposts? And finally, how can these orgs avoid just acting out “innovation theater”? Simoudis — who has also written about whether “the elephant can dance again” using t

Whether you think of it as a distributed ledger, decentralized database, computing infrastructure, open source/ software development platform, cryptocurrency, transaction platform, or financial services marketplace, the bitcoin blockchain is driven by two key features: that it is a peer-to-peer network, and that it unbundles trust. Imagine moving from Googling for things to offering proof-as-a-service instead (which itself begins with rethinking identity). In fact, there's a lot of parallels -- both in evolution and development -- with the blockchain and the internet before it. Only the blockchain doesn't need the web. And that has profound implications for what applications and new businesses are now possible, especially in financial services. But if "the worst place to develop a new business model is from within your existing business model", then how can banks move beyond mere process innovations to offering entirely new services built on the blockchain? Many financial institutions are trying to

So many modern e-commerce sites and marketplaces are really digital forms of their physical counterparts, which makes it easier to figure out how to present and sell products online. But in India, where many small towns do not have "organized" retail -- and have fewer big (let alone well-known) brands -- mobile and web retail is essentially "leapfrogging" over the physical department store phase to online. So how do these new companies connect people to products when the logistics infrastructure hasn't been built out yet? (Imagine if instead of just partnering with carriers, Amazon had had to build not just its services, but delivery, from scratch in the United States!) Similarly, how do payments happen in an ecosystem that still relies more on cash than more "frictionless" credit cards? And how do you solve problems like discovery; design (different web/app versions depending on connectivity); the balance between notifications/ messaging/ and conversational commerce; and control

When the iPad first came out in 2010 there was chatter that went in two directions: It’s just a big iPhone I’ll never carry a laptop again Both were wrong. The big iPhone comment was quickly dispelled as people (and their kids) fell under the consumption thrall of iPads. But iPads never could meet the needs of most laptop users –- until now. Benedict Evans and Steven Sinofsky offer their reasons why the iPad Pro hits the mark as a machine for all kinds of things, and why it may have shoved their own laptops aside for almost everything. The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information

Our first instinct as technologists or users of technology is to think of 'connectivity' as digital connectivity -- the internet, our smartphone. But the internet is just the latest in a long line of connectivity that spans centuries, not just decades: transportation, energy, communication. The internet, in fact, is the newest kind of supply chain -- a "data supply chain" -- with technology, goods, capital, people (human capital), and ideas moving across it. We're moving towards a world where infrastructure and supply chains (and the friction between them) matter more fundamentally than even geography and political borders. This in turn is reshaping everything, from companies (including "stateless superpowers") to cities ("megacities") to identity. But what does this mean for jobs? Or those who don't have connectivity and mobility? Does this lead to a filter bubble? The evidence suggests otherwise, argues the author of the new book Connectography, Parag Khanna, in this episode of

So... about those bots. Bots bots bots. Bots! In this episode of the botcast, a16z partners Benedict Evans and Connie Chan -- along with Chris Messina, longtime advocate of the open web and more -- pull apart various threads related to the topic of bots, mobile, and beyond: the (evolution?) from web to apps to messaging to bots; chat as an interface; “conversational commerce”; and so on. They also discuss why framing messaging through the lens of WeChat both reveals useful things (what works/ might not work) and not-so-useful things (such as seeking the “WeChat of the West”). More importantly, how can we keep bots, and what they represent, in perspective -- beyond the fad? Especially when it comes to considering innovation on the 'web' vs. 'mobile' (remember the mobile browser!) and when it comes to removing friction (vs. adding limited interaction). What contexts (like customer service) are most useful for thinking about bots? And how can we even know, given it’s early days yet and we haven’t moved much beyo

Developers are more than just influencers inside the enterprise -- they're now buyers, too. That's a huge shift from before, when only IT and other departments had that kind of purchasing power. (It's not just a Silicon Valley thing, either, as every company becomes a software company.) So what's different then about selling and marketing to developers? One key is open source. But offering products and services built on top of open source brings up a whole slew of other questions: What are viable business models, how do you monetize? Especially since (as Peter Levine has argued before) there will never be another Red Hat a.k.a. a successful "open core" business model. a16z partners Levine and Martin Casado offer their observations and advice about selling to developers and open source business models in this episode of the podcast. The answers affect everything from sales -- yes, you still need sales even when selling to developers! -- to product management (what features to withhold, who builds the

The hallmark of many great technical founder/CEOs is that they envision a better way of doing things, and that's why they're building a company that delivers on that better way, often disrupting the way things have always been done before. But this very mindset can backfire when it comes to sales. Why shouldn't they reinvent the sales process?? On this episode of the a16z Podcast -- with a16z's Mark Cranney (head of our sales and market development team), Lars Dalgaard, and Ben Horowitz -- we cover the why, how, and when of sales: why do we even need sales when "a really good product sells itself"; how to organize the sales function depending on what you're building (especially when what you're selling is continually changing); and when to bring on that first sales hire. Finally, how do we wrap our heads around sales culture, competition, and commissions in startups? It doesn't help when everyone in the company -- not just sales reps -- are the ones building the very thing you're selling ... so why

Some of the best management books are actually military books, argues Ben Horowitz. There's just a certain mental toughness and focus that that experience gives you, adds Dick Costolo based on his observations. So how then do you build trust on a team in a company, when it's not (literally) life or death as it is in the military? When giving someone a public "object lesson" -- the equivalent of Sun Tzu's chopping someone's head off -- could mean losing talent ... or being more tyrant than leader? How do you tell the difference? This conversation -- between Horowitz and Costolo (entrepreneur, former CEO of Twitter, comedian and consultant on the HBO show "Silicon Valley") -- took place before a group of 25 veterans who participated in the Breakline education and hiring program (one week of which was hosted at Andreessen Horowitz) for veterans shifting into careers in the tech industry.

Most investors try to invest in things that don't change and last forever -- Warren Buffett for example loves Heinz ketchup! But VC is about investing in things that do change... a lot. How does this basic mindset challenge much of what people learn in business school or classic leadership training? Do software-led businesses require different mindsets? What are some of the most common things first-time vs. serial entrepreneurs do? This Q&A -- with Marc Andreessen interviewed by Don Faul (former U.S. Marine platoon commander and head of operations at Google, Facebook, Pinterest, and now COO at Athos) -- covers these topics, as well as what to consider when working for a big- v. small- (and especially intermediate-) -sized company, what it takes to make a career transition, and how to "go back to kindergarten". The conversation took place before a group of 25 veterans who participated in the Breakline education and hiring program (one week of which was hosted at Andreessen Horowitz) for veterans

In this episode of the a16z Podcast sharing more founder stories, Ben Horowitz interviews a16z partner Lars Dalgaard about SuccessFactors, one of the earlier software-as-a-service companies. (It was founded on 2001, IPO'd in 2008, and was acquired by SAP in 2012). SuccessFactors focused on software for "human capital management" in the enterprise. But what are the success factors in talent, scaling companies, and most importantly, scaling culture? Lars and Ben cover everything from what motivates (the best) founders, the difficulties of entrepreneurship, and team building and building culture. Especially if you have values -- not just an HR offsite exercise -- that mean something, like "no assholes!" .... but then how do you balance a value like that with the desire to succeed (for example, if you have a 10Xer who is an asshole)?? All that and more in this episode.

How do you get into tech when you don’t have a tech background? And what special expertise can leaders from other fields -- like the military -- bring to tech startups? This Q&A -- with Lars Dalgaard interviewed by Bethany Coates (assistant dean at Stanford Graduate School of Business who runs global education and social mission programs that primarily focus on entrepreneurship, innovation, and leadership) -- covers these topics. As well as what it means to what to bring one’s raw, real self to work, beginning from the interview to working together and sharing feedback later. The conversation took place before a group of 25 veterans who participated in the Breakline education and hiring program (one week of which was hosted at Andreessen Horowitz) for veterans shifting into careers in the tech industry.

Why are people so fired up about a computer winning yet another game? Whether it's checkers, chess, Jeopardy, or the ancient Chinese game of Go, we get excited about the potential for more when we see computers beat humans. But then nothing "big" -- in terms of generalized artificial intelligence -- seems to happen after that burst of excitement. Now, with the excitement (and other emotions) around Google DeepMind's "AlphaGo" using machine learning and other techniques to beat one of the world's top Go players, Lee Sodol, in Korea ... it's like the dream of the 1990s (and 1980s, and 1970s, and 1960s) is alive in Seoul right now. Is this time different? How do we know? a16z's head of research and deal team Frank Chen and board partner Steven Sinofsky -- who both suffered through the last “AI winter” -- share how everything old is new again; the triumph of data over algorithms; and the evergreen battle between purist vs. "practical" approaches. Ultimately, it's about how innovation

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.

YouTube star Casey Neistat rejects the term “viral video,” which is strange because he’s had more than his share of internet monsters. To say I want to make a viral movie, is like a musician saying I want to make a hit song -- it’s just not a good place to start, Neistat says, paraphrasing a point made on Twitter. So how does Neistat start? How does he both attract an audience of millions, and keep them coming back on a daily basis? Neistat is joined on this segment of the pod by Bailey Richardson, one of the early team members at Instagram. With the tools of production available to everyone, how do you create something that people will stop and pay attention to? Neistat does it by ripping up the snowy streets of New York on a snowboard towed behind a jeep, but what about the rest of us?

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 ne

It's not incompetence, but competence, that causes companies to be disrupted. That applies to big companies and small, as well as people too. Or so argue Clayton Christensen and Marc Andreessen in this podcast, based on a conversation at Startup Grind (moderated by Derek Anderson) between the a16z co-founder and Harvard Business School professor Christensen -- aka the "father of disruption theory" (also known to his wife as "the Jewish mother of business"). This podcast shares everything from their views on managing innovation in companies like Apple, Google, and Twitter (including how to apply the jobs-to-be-done framework there); what the abundance of capital means for innovation; and how to truly measure success and strike work-life balance.

The mobile world has fallen hard for VR, says Benedict Evans. But will virtual reality mean real profit for hardware makers? Evans offers his observations on VR and more gleaned from the largest gathering of the mobile industry, Mobile World Congress. The value in mobile keeps shifting, Evans says, from hardware to software, and the platforms on which that software runs. But the players and the business models are far from set when practically anyone can get into handset business. The forces shaping the future of mobile -- from VR to Algerian handset makers just crushing it -- on this segment of the podcast.

Virtual reality is coming fast, and everyone seems to assume that it will be gamers who get to have all the fun first. But there are other applications for VR that could also bring it into the mainstream. “It could very well be business users,” says 16z’s Chris Dixon. “It’s anything where you would want time travel or teleportation.” Dixon is joined on this segment of the podcast by Saku Panditharatne and Kyle Russell, both on the firm’s deal team, to offer their perspective on how virtual reality is likely to enter all of our lives. This year promises to be the moment when more than a very small number of people will get their first taste of VR. What that looks and feels like, and what that shared experience sets in motion on this segment of the a16z podcast. Chris Dixon starts the conversation. The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained f

Infrastructure. It powers everything from cities to computing, yet is sometimes considered "boring" because it is so invisible to so many of us. But as software continues to eat the world, infrastructure has come to the forefront. And some of the most exciting technology innovations are now happening at the infrastructure level: It's changing everything, observes a16z's newest general partner Martin Casado -- from how new tech is created to how new tech is sold. Casado -- one of the pioneers of "software-defined networking" -- joins this episode of the a16z Podcast with Sonal Chokshi and Michael Copeland to share his journey from Lawrence Livermore National Laboratory to Stanford to Nicira Networks to VMware to a16z. He also discusses the tradeoffs in theoretical v. applied computer "science", including lessons learned as a PhD and technologist who then had to run a startup through hard times. Finally, Casado shares what he thinks are the key vectors and trends in networking, wha