a16z

Educate yo self

a16z - 2016

The potential to turn messaging into a platform is driving much of the excitement in mobile, says a16z’s Benedict Evans. It's a platform through which other apps flow (and where all the users get aggregated).

Take for example Facebook's recent announcements, which put it right where it wants to be on the mobile phone -- in control. So what’s next in messaging? And what will Apple, Google, and other players like WeChat have to say about it?

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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 or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Messaging is the Medium

"Machine learning is to big data as human learning is to life experience," says Christopher Nguyen, the co-founder and CEO of big data intelligence company Adatao. Sure, but then, what IS big data? (especially as it's become a buzzword that captures so many things)... 

On this episode of the a16z Podcast, Nguyen puts on his former computer science professor hat to describe 'big data' in relation to 'machine learning' -- as well as what comes next with 'deep learning'. Finally, the former Google exec shares how Hadoop and Spark evolved from the efforts of companies dealing with massive amounts of real-time information; what we need to make machine learning a property of every application (why would we even want to?); and how we can make all this intelligence accessible to everyone.

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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 or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Making Sense of Big Data, Machine Learning, and Deep Learning

Andreessen Horowitz Managing Partner Scott Kupor and NetSuite CFO Ron Gill get into the weeds on SaaS valuations, and how public and private SaaS companies think differently about the recurring revenue model. Gill and Kupor break down their financial analysis of these kinds of companies -- what metrics matter -- and correct some of the misconceptions about the SaaS business model that even sophisticated investors tend to latch onto. Finally, Kupor offers his advice to private company entrepreneurs who are wondering why, in a public market environment that puts everyone under a microscope, would you ever want to go public?

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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 or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Why SaaS Revenue is Worth More Than Traditional Software Sales

Legendary investor Charlie Munger (Warren Buffett's financial partner and vice chairman of Berkshire Hathaway) invokes a set of interdisciplinary "mental models" involving economics, business, psychology, ethics, and management to keep emotions out of his investments and avoid the common pitfalls of bad judgment. In a new book focused on lessons learned from Munger, Tren Griffin (who works at Microsoft and has long focused on lessons learned from many investors) shares insights on decision making and the psychology of human judgment -- especially as it applies to investing and risk.

But Griffin believes that these lessons can be applied to all of us in our daily lives, not just by investors. (He also argues that investing may be one of the last liberal arts). So how then do we channel our inner Munger? In this episode of the a16z Podcast, we discuss how to think about thinking; why the best investors and business leaders spend more time on what they DON’T know; and how the best way to be smart is to ... not be stupid.

a16z Podcast: The Best Way To Be Smart ... Is To Not Be Stupid

From Aaron Sorkin to Steve Jobs to Meredith Perry and Elon Musk, "original" thinkers -- such as entrepreneurs -- do a lot of different things to move the world to their visions. And many of those things (and traits) are counterintuitive, such as ... Embracing procrastination. But there's a catch: It's about being the just-right amount of procrastinator, expert, or confident. There's a curvilinear relationship between too much and too little.

There's also some surprising findings about why NOT to "start with the why" but with the how. Because sometimes the how is much more believable than the why. Especially when it comes to getting people to engineer things from ubeam to SpaceX. Or to really being able to tell the difference between communication vs. confidence vs. competence.

Ultimately, it's all about being flexible, argues top Wharton management professor and New York Times columnist Adam Grant in his new book Originals. So how do we strike the just-right balance -- whether making an entrepreneur or just trying to raise more creative, productive kids? Is the answer perhaps to immerse them in sci-fi books and video games? Well, J.K. Rowling could be the most influential "original" alive, argues Grant in this podcast... but not for the reasons you think.

a16z Podcast: How to Be Original and Make Big Ideas Happen

with Fei-Fei Li (@drfeifei), Frank Chen (@withfries2), and Sonal Chokshi (@smc90)
 
Who has the advantage in artificial intelligence — big companies, startups, or academia? Perhaps all three, especially as they work together when it comes to fields like this. One thing is clear though: A.I. and deep learning is where it’s at. And that’s why this year’s newly anointed Andreessen Horowitz Distinguished Visiting Professor of Computer Science is Fei-Fei Li [who publishes under Li Fei-Fei], associate professor at Stanford University. Bridging entrepreneurs across academia and industry, we began the a16z Professor-in-Residence program just a couple years ago (most recently with Dan Boneh and beginning with Vijay Pande).

Li is the Director of the Stanford Vision Lab, which focuses on connecting computer vision and human vision; is the Director of the Stanford Artificial Intelligence Lab (SAIL), which was founded in the early 1960s; and directs the new SAIL-Toyota Center for AI Research, which brings together researchers in visual computing, machine learning, robotics, human-computer interactions, intelligent systems, decision making, natural language processing, dynamic modeling, and design to develop “human-centered artificial intelligence” for intelligent vehicles. Li also co-created ImageNet, which forms the basis of the Large Scale Visual Recognition Challenge (ILSVRC) that continually demonstrates drastic advances in machine vision accuracy.

So why now for A.I.? Is deep learning “it”… or what comes next? And what happens as A.I. moves from what Li calls its “in vitro phase” to its “in vivo phase”? Beyond ethical considerations — or celebrating only “geekiness” and “nerdiness” — Li argues we need to inject a stronger humanistic thinking element to design and develop algorithms and A.I. that can co-habitate with people and in social (including crowded) spaces. All this and more on this episode of the a16z Podcast.

a16z Podcast: When Humanity Meets A.I.

There have been a number of new device announcements this past month -- from Google’s new Pixel phone (the first time they made their own phone on the hardware side as well) to more recently, Apple’s announcements around a new Macbook Pro and innovations in touch (including a Touchbar that replaces function keys and bringing TouchID to Macs); and then Microsoft, which among other things announced a new Surface Studio -- an all-in-one touchscreen desktop PC. How do these change the future of work?

Turns out, even seemingly small interface improvements could have significant consequences for user behavior. Just look at touch. More broadly, though, what happens when a software maker becomes a hardware maker? Or when we're in the middle of an architecture shift, as we are right now with x86 to ARM processors in mobile (and beyond)?

It's all about where you're at on the "S-curve" of innovation (a concept first coined by Gabriel Tarde and expanded on Everett Rogers in his theory of innovation diffusion). And sometimes, the best is the last... But how can we tell where something is on that curve? The right comparisons matter here, and a16z's Benedict Evans and board partner Steven Sinofsky try to make them in this episode of the podcast!

a16z Podcast: So Where Are We on the 'S-curve' for PC Devices?

You've heard a version of this story before: Steve Jobs calls some executive out of the blue to come work for him. Only this time the story turns out great ... and the company wasn't Apple. This episode of the a16z Podcast shares some of the journey that former CFO Lawrence Levy went on with Steve Jobs as they took Pixar -- a company then on the verge of failure -- to its IPO and subsequent greatest hits.

It's sort of an adventure story but is really more of a quest for product-market fit. How did they figure out a model for such an old-but-new business (i.e., animation and entertainment)? How did they take an improbable plan and figure out how to make it work -- both qualitatively and quantitatively? How did they then navigate and straddle the diverse worlds of Silicon Valley, Hollywood, and Wall Street? And finally, how did they price their IPO, which was also a symbol of Steve Jobs' comeback story ... a narrative that's sometimes lost in the Apple story.

From the business of creativity to corporate culture, Levy -- former CFO of Pixar, board member, and author of the new book To Pixar and Beyond: My Unlikely Journey with Steve Jobs to Make Entertainment History -- shares his (and Jobs' untold) story. But it isn't just a story about finding the right model and numbers to build, explain, and measure the business; it's also, partly, about how to get the measure of one's humanity, too.

a16z Podcast: The Business of Creativity -- Pixar CFO, IPO, and Beyond!

"We live in a world where we use millions of variables to predict which ad you're going to click on. Whether or not you deserve to get a loan. What movie you might watch next. But when it comes to our bodies and even serious diseases, we want to reduce things down to just one or two variables." It's insane that we actually collect so little data about our bodies. The modern day physical is downright spartan in what it captures, not to mention that we're using 200-year old tools to capture that very limited data.

Which is why we need to borrow from other domains of science and data and apply that to our bodies, in more ways than one, argues Q founder and CEO Jeffrey Kaditz with a16z bio fund general partner Vijay Pande (in conversation with Sonal Chokshi) on this episode of the a16z Podcast. But how do we get there? What would data "rights" look like -- and could we possibly donate data much like we currently donate organs? And for catching diseases like prostate or breast cancer early, how can we use data captured over multiple points in time -- something not really done right now in medicine -- to be more predictive, sensitive, and specific beyond so-called "representative" population samples? What IS a 'diagnostic', really, anyway?

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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 or its appropriateness for a given situation.
 
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.

Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

a16z Podcast: Health Data -- A Feedback Loop for Humanity

The a16z Podcast discusses tech and culture trends, news, and the future -- especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This podcast is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!