Sunday, November 3, 2013

Welcome To The Unicorn Club: Learning From Billion-Dollar Startups


Many entrepreneurs, and the venture investors who back them, seek to build billion-dollar companies. Why do investors seem to care about "billion dollar exits"? Historically, top venture funds have driven returns from their ownership in just a few companies in a given fund of many companies. Plus, traditional venture funds have grown in size, requiring larger "exits" to deliver acceptable returns. For example – to return just the initial capital of a $400 million venture fund, that might mean needing to own 20 percent of two different $1 billion companies, or 20 percent of a $2 billion company when the company is acquired or goes public. So, we wondered, as we're a year into our new fund (which doesn't need to back billion-dollar companies to succeed, but hey, we like to learn): how likely is it for a startup to achieve a billion-dollar valuation? Is there anything we can learn from the mega hits of the past decade, like Facebook, LinkedIn and Workday? To answer these questions, the Cowboy Ventures team built a dataset of U.S.-based tech companies started since January 2003 and most recently valued at $1 billion by private or public markets. We call it our "Learning Project," and it's ongoing. With big caveats that 1) our data is based on publicly available sources, such as CrunchBase, LinkedIn, and Wikipedia, and 2) it is based on a snapshot in time, which has definite limitations, here is a summary of what we've learned, with more explanation following this list*: Learnings to date about the "Unicorn Club": We found 39 companies belong to what we call the "Unicorn Club" (by our definition, U.S.-based software companies started since 2003 and valued at over $1 billion by public or private market investors). That's about .07 percent of venture-backed consumer and enterprise software startups. On average, four unicorns were born per year in the past decade, with Facebook being the breakout "super-unicorn" (worth >$100 billion). In each recent decade, 1-3 super unicorns have been born. Consumer-oriented unicorns have been more plentiful and created more value in aggregate, even excluding Facebook. But enterprise-oriented unicorns have become worth more on average, and raised much less private capital, delivering a higher return on private investment. Companies fall somewhat evenly into four major business models: consumer e-commerce, consumer audience, software-as-a-service, and enterprise software. It has taken seven-plus years on average before a "liquidity event" for companies, not including the third of our list that is still private. It's a long journey beyond vesting periods. Inexperienced, twentysomething founders were an outlier. Companies with well-educated, thirtysomething co-founders who have history together have built the most successes The "big pivot" after starting with a different initial product is an outlier. San Francisco (not the Valley) now reigns as the home of unicorns. There is very little diversity among founders in the Unicorn Club. Some deeper explanation and additional findings: 1) Welcome to the exclusive, 39-member Unicorn Club: the Top .07% Figuring out the denominator to unicorn probability is hard. The NVCA says over 16,000 internet-related companies were funded since 2003; Mattermark says 12,291 in the past 2 years; and the CVR says 10-15,000 software companies are seeded each year. So let's say 60,000 software and internet companies were funded in the past decade. That would mean .07 percent have become unicorns. Or, 1 in every 1,538. Takeaway: it's really hard, and highly unlikely, to build or invest in a billion dollar company. The tech news may make it seem like there's a winner being born every minute - but the reality is, the odds are somewhere between catching a foul ball at an MLB game and being struck by lightning in one's lifetime. Or, more than 100x harder than getting into Stanford. That said, these 39 companies have shown it's possible – and they do offer a lot that can be learned from. 2) Facebook is the super-unicorn of the decade (by our definition, worth >$100B). Every major technology wave has given birth to one or more super-unicorns Facebook is what we call a super-unicorn: it accounts for almost half of the $260 billion aggregate value of the companies on our list. (As such, we excluded them from analysis related to valuations or capital raised) Prior decades have also given birth to tech super-unicorns. The 1990s gave birth to Google, currently worth nearly 3x Facebook; and Amazon, worth ~ $160 billion. The 1980's: Cisco. The 1970s: Apple (currently the most valuable company in the world), Oracle, and Microsoft; and Intel was founded in the 1960s. What do super-unicorns have in common? The 1960s marked the era of the semiconductor; the 1970s, the birth of the personal computer; the 1980s, a new networked world; the 1990s, the dawn of the modern Internet; and in the 2000s, new social networks were built. Each major wave of technology innovation has given rise to one or more super-unicorns - companies that could change your life to work at or invest in, if you're not lucky/genius enough to be a co-founder. This leads to more questions. What is the fundamental technology change of the next decade (mobile?); and will a new super-unicorn or two be born as a result? Only four unicorns are born per year on average. But not all years have been as fertile: The 38 companies on our list outside of Facebook are worth about $3.6 billion on average. This might feel like a letdown after reading about super-unicorns, but remember, startups generally start as ideas that most people think are crazy, dumb, or not that important (remember when people ridiculed Twitter as the place to share that you were eating a ham sandwich?). Only after many years and extraordinary good fortune, a few grow into unicorns, which is extremely rare and pretty awesome. Unicorn founding was not front-end-loaded in the past decade. The best year was 2007 (8 of 36); the fewest were born in 2003, 2005 and 2008 (as far as we know today; there are none yet founded in 2011 to today). From this snapshot in time, it's not clear whether the number of unicorns per year is changing over time. It would be interesting to plot the trajectory of unicorns over time - which become more valuable and which fall off the list - and to understand the list of potential unicorns-in-waiting, currently valued at <$1 billion. Hopefully for a future post. 3) Consumer-oriented companies have created the majority of value in the past decade Venture investing into early-stage consumer tech companies has cooled significantly in the past year. But it's worth realizing that: Three consumer companies - Facebook, Google and Amazon - have been the super-unicorns of the past two decades. There are more consumer-oriented than enterprise unicorns, and they have generated more than 60 percent of the aggregate value on our list outside of Facebook. Our list likely seriously underestimates the value of consumer tech. Of the 14 still-private companies on our list, 85 percent are consumer-oriented (e.g. Twitter, Pinterest, Zulily). They should see a significant step up in value if/when a liquidity event occurs, increasing the aggregate value of the consumer unicorns. 4) Enterprise-oriented unicorns have delivered more value per private dollar invested One reason why enterprise ventures seem so attractive right now: the average enterprise-oriented unicorn on our list raised on average $138 million in the private markets – and they are currently worth 26x their private capital raised to date. The companies that seriously improved this metric are Nicira, Splunk and Tableau, who all raised <$50 million in private markets and are worth $3.8 billion today on average. Plus Workday, ServiceNow and FireEye who are currently worth >60x the private capital raised. Wow. Contrary to conventional VC wisdom about enterprise companies requiring more early-stage capital, we didn't see a difference in Series A dollars raised by enterprise versus consumer unicorns. Consumer companies have delivered less value per private dollar invested The consumer unicorns have raised $348 million on average, ~2.5x more private capital than enterprise unicorns; and they are worth about 11x the private capital raised. Companies who raised lots of private money relative to their most recent valuation are Fab, Gilt Groupe, Groupon, HomeAway and Zynga. It may just take more capital to build a super successful consumer tech company in a "get big fast" world; and/or, founders and investors are guilty of over-capitalizing consumer Internet companies at too-high valuations in the past decade, driving lower returns for consumer tech investors. 5) Four primary business models drive the value and network effects help We categorized companies into four business models, which share fairly equally in driving value in aggregate: 1) E-commerce: the consumer pays for goods or services (11 companies); 2) Audience: free for consumers, monetization through ads or leads (11 companies); 3) SaaS: Users pay (often via a "freemium" model) for cloud-based software (7 companies); and 4) Enterprise: Companies pay for larger scale software (10 companies). None of the e-commerce companies on our list hold physical inventory as a key part of their business models. Despite that, e-commerce companies raised the most private dollars on average - delivering the lowest valuations vs capital raised, and likely driving the recent cool down in e-commerce investing. Only four of the 38 companies are mobile-first. Not surprising, the iPhone was only launched in 2007 and the first Android device in 2008. Another characteristic almost half of the companies on our list share: network effects. Network effects in the social age can help companies scale users dramatically, seriously reducing capital requirements (YouTube and Instagram) and/or increasing valuations quickly (Facebook). 6) It's a marathon, not a sprint: it takes 7+ years to get to a "liquidity event" It took seven years on average for 24 companies on our list to go public or be acquired, excluding extreme outliers YouTube and Instagram, both of which were acquired for over $1 billion in about two years since founding. 14 of the companies on our list are still private, which will increase the average time to liquidity to eight-plus years. Not surprisingly, enterprise companies tend to take about a year longer to see a liquidity event than consumer companies Of the nine companies that have been acquired, the average valuation was $1.3 billion; likely a valuation sweet spot for acquirers to take them off the market before they become less affordable 7) The twentysomething inexperienced founder is an outlier, not the norm The companies on our list were generally not founded by inexperienced, first-time entrepreneurs. The average age on our list of founders at founding is 34. Yes, the founders of Facebook were on average 20 when it was founded; but the founders of LinkedIn, the second-most valuable company on our list, were 36 on average; and the founders of Workday, the third-most valuable, were 52 years old on average. Audience-driven companies like Facebook, Twitter and Tumblr have the youngest founders, with an average age at founding of 30 (seemingly eminent unicorn Snapchat will lower this average). SaaS and e-commerce founders averaged aged 35 and 36; enterprise software founders were 38 on average at founding. Co-founders with years of history together have driven the most successes A supermajority (35) of the unicorns on our list have chosen to blaze trails with more than one founder - with three co-founders on average. The role of co-founders varies from Co-CEOs (Workday) to technical co-founders who live in a different country (Fab.com). Looking at co-founder equity stakes at liquidity might be another interesting way to look at founder status, which we have not done. Ninety percent of co-founding teams comprise people who have years of history together, either from school or work; 60 percent have co-founders who worked together; and 46 percent who went to school together. Teams that worked together have driven more value per company than those who went to school together. Only four teams of co-founders didn't have common work or school experience, but all had a common thread. Two were known and introduced by the investors at founding/funding; one team was friends in the local tech scene; and one team met while working on similar ideas. That said, the four unicorns with sole founders (ServiceNow, FireEye, RetailMeNot, Tumblr - half enterprise, half consumer) have all had liquidity events and are worth more on average than companies with co-founders. Most founding CEOs scale their companies for the long run. But not all founders stay for the whole journey An impressive 76 percent of founding CEOs led their companies to a liquidity event, and 69 percent are still CEO of their company, many as public company CEOs. This says a lot about these founders in terms of their long-term vision, commitment and their capability to scale from almost nothing in terms of money, product, and people, to their current unicorn company status. That said, 31 percent of companies did make a CEO change along the way; and those companies are worth more on average. One reason: about 40 percent of the enterprise companies made a CEO change (versus 25 percent of consumer companies). And all CEO changes prior to a liquidity event were at enterprise companies that added seasoned, "brand-name" leaders to their helms prior to being bought or going public. Only half of the companies on our list show all original founders still working in the company. On average, 2 of 3 co-founders remain. Not their first rodeo: founders have lots of startup and tech experience Nearly 80 percent of unicorns had at least one co-founder who had previously founded a company of some sort. Some founders showed their entrepreneurial DNA as early as junior high. The list of prior startups co-founded spans failure and success; and from tutoring and bagel delivery companies, to PayPal and Twitter. All but two companies had founders with prior experience working in tech/software; and only three of 38 did not have a technical co-founder on board (HomeAway and RetailMeNot, founded as industry rollups; and Box, founded in college). The majority of founding CEOs, and 90 percent of enterprise CEOs have technical degrees from college. An educational barbel: many "top 10 school grads" and dropouts The vast majority of all co-founders went to selective universities (e.g. Cornell, Northwestern, University of Illinois). And more than two-thirds of our list has at least one co-founder who graduated from a "top 10 school." Stanford leads the roster with an impressive one-third of the companies having at least one Stanford grad as a co-founder. Former Harvard students are co-founders in eight of 38 unicorns; Berkeley in five; and MIT grads in four of the 38 companies. Conversely, eight companies had a college dropout as a co-founder. And three out of five of the most valuable companies (Facebook, Twitter and ServiceNow) on our list were or are led by college dropouts, although dropouts with tech-company experience, with the exception of Facebook. 8) The "big pivot" is also an outlier, especially for enterprise companies Few companies are the result of a successful pivot. Nearly 90 percent of companies are working on their original product vision. The four "pivots" after a different initial product were all in consumer companies (Groupon, Instagram, Pinterest and Fab). 9) The Bay Area, especially San Francisco, is home to the vast majority of unicorns Probably not a surprise, but 27 of 39 on our list are based in the Bay Area. What might be a surprise is how much the center of gravity has moved to San Francisco from the Valley: 15 unicorns are headquartered in San Francisco; 11 are on the Peninsula; and one is in the East Bay. New York City has emerged as the No. 2 city for unicorns, home to three. Seattle (2) and Austin (2) are the next most-concentrated cities for unicorns. 10) There is A LOT of opportunity to bring diversity into the founders club Only two companies have female co-founders: Gilt Groupe and Fab, both consumer e-commerce. And no unicorns have female founding CEOs. While there is some ethnic diversity on founding teams, the diversity of founders in the unicorn club is far from the diversity of college grads with relevant technical degrees. Feels like some important records to break. So, what does this all mean? For those aspiring to found, work at, or invest in future unicorns, it still means anything is possible. All these companies are technically outliers: they are the top .07 percent. As such, we don't think this provides a unicorn-hunting investor checklist, i.e. 34-year-old male ex-PayPal-ers with Stanford degrees, one who founded a software startup in junior high, where should we sign? That said, it surprised us how much the unicorn club has in common. In some cases, 90 percent in common, such as enterprise founder/CEOs with technical degrees; companies with 2+ co-founders who worked or went to school together; companies whose founders had prior tech startup experience; and whose founders were in their 30s or older. It is also good to be reminded that most successful startups take a lot of time and commitment to break out. While vesting periods are usually four years, the most valuable startups will take at least eight years before a "liquidity event," and most founders and CEOs will stay in their companies beyond such an event. Unicorns also tend to raise a lot of capital over time - way beyond the Series A. So these founding teams had the ability to share a compelling company vision over many years and rounds of fundraising, plus scale themselves and recruit teams, despite economic ups and downs. We tip our hats to these 39 companies that have delighted millions of customers with fantastic products and generated so much value in just 10 years despite a crowded startup environment. They are the lucky/genius few of the Unicorn Club – and we look forward to learning about (and meeting) those who will break into this elite group next.

There Are No More “Tech Issues”


Secretary of Health and Human Services Kathleen Sebelius is not a tech founder. President Barack Obama does not have a GitHub account. The failed launch of the new health insurance e-commerce website, Healthcare.gov, came as a shock to political leaders that were too steeped in government shutdowns and the machinations of two-party infighting to understand how their hired geeks could flub a computer project. Unfortunately, Silicon Valley's powerful political lobbies were myopically focused on the stereotypical tech issues of immigration reform and broadband access to see that every single law affects the tech industry as much as the rest of the country. As a result, many Silicon Valley startups were legally shut out of a brand-new, multi-billion dollar market, while America's new health-care system is in danger of missing crucial enrollment deadlines. Here's the lesson: there are no more “tech issues.” America and startups got hosed because Silicon Valley was politically absent. Since everything now has crucial technology components, the technology industry cannot sit out any issue. The government, alone, is incapable of solving these problems. Upon entering office, President Obama thought he set a path to change by creating two new positions, the Chief Technology Officer and newly re-tooled Chief Information Officer, specifically designed to make government as innovative as his campaign. New directors hired. Check! Problem solved? Of course! Unfortunately, it didn't work out that way. The first CIO, Vivek Kundra, practically stormed out of his office after two years, denouncing the entire system. “We almost have an IT cartel within federal IT,” he said to Google Chairman Eric Schmidt. The searing criticism fell on the deaf ears of a few wonky trade publications. The next CIO, Steve VanRoekel, gave me his first interview and declared a bold solution to gut the system from the inside by hiring young folks from Silicon Valley. While we know his ambitious plans didn't stop the Healthcare.gov failure, we don't know why, because sometime last spring when Healthcare.gov began serious construction, he was moved to a different department. No one in the executive branch seemed to have the political power to change either the IT system or the Affordable Care Act's regulations. In the end, the feds did what they normally do: hire a known contractor and keep the status quo. “So what they did instead, and very rationally, is they opted to take a contract that they already had - one with CGI Federal - and amended that contract to add the Healthcare.gov stuff onto it,” wrote former Presidential Innovation Fellow Clay Johnson. Congress, likewise, had no incentive to anger a contractor that gives jobs to constituents. “No contracting officer wants a call from a member of Congress asking why their backyard IT integrator wasn't selected.” Worse yet, the Affordable Care Act put a new multi-billion-dollar commerce opportunity completely in the hands of the government. “Web-based entities,” or tech startup insurance brokers, who are designing an Orbitz-like experience for shoppers, were treated as second-class citizens. Startups like Fuse Insurance tell me they were given late access to the data and can't test their product because of Healthcare.gov's backend glitches. Worse yet, they're completely overshadowed by a multi-million-dollar, celebrity-fueled ad campaign to drive consumers to the federal website. The regulations, as written, give state exchanges the option to allow startups access to the new market. California and New York have delayed these partnerships for around two years. As a result of Silicon Valley's inattentiveness, everyone got screwed. Fortunately, there are models for Silicon Valley to broaden its reach. Former Newark Mayor, now Senator Cory Booker, realized this fact on a problem that doesn't seem to fit the typical “tech issue” mold: criminal justice. While civil libertarians were battling New York Mayor Michael Bloomberg over controversial stop-and-frisk policies, Booker won accolades from the local American Civil Liberties Union for finding a unique tech solution: open up all the data on police officer street stops. Watchdogs can now work cooperatively with law enforcement to find out exactly which stops are happening. After the Sandy Hook Elementary massacre, noted Facebook investor Ron Conway spearheaded investment for startups that could equip police with gun-fire detection technologies; it's also exploring ways to empower community volunteers with social media sentiment analysis that can find public gang feuds and defuse them with preemptive diplomacy. In foreign policy, Benetech helped develop a James Bond-like eraser tool for spying dissidents, they used statistics to indict war criminals, and helping crisis workers more efficiently find victims of national disasters. All of these areas are not only ripe for business but can save lives. Education, health care, immigration, tax reform, infrastructure (self-driving cars), energy, foreign policy, gay rights, voting rights, disaster relief - they're all tech issues now. Silicon Valley's citizens and its well-heeled lobbyists better expand their interests. Where I can, I will also try to be better at identifying technology-relevant aspects of all major legislation. Health care was a rational oversight. But we shouldn't get fooled again.

App Indexing, Predictive Services, And Unlocking Mobile Distribution


There is a "perfect storm" brewing in consumer mobile: Developers, companies, and investors see the explosive growth of smartphones (with no sign of slowing down), yet consumers only have so much bandwidth to interact with a small set of apps, let alone enough time in the day for another app. Consumer eyeballs are fixated on smartphones, triggering once-in-a-lifetime opportunities for application creators to reinvent products, interactions, and industries, but tragically, limited means of getting their creations discovered, or reengaged with, or paid through them. The result, for the time being, is that driving app installs and engagement is all the rage, as companies frantically line Facebook's pockets to help drive downloads and retention of their mobile apps while a bustling ecosystem of third-party app analytic providers wait to scoop up the remains. Something has to give, right? In the past few weeks, we have begun to see the inklings of what the future of mobile search, navigation, and app discovery may hold. Forget about Siri for now, as it actually took a step backward in iOS 7, if that was even possible. On Android, apps like Cover, which contextually places apps in your lockscreen based on when it knows you're likely to use those apps, and Aviate, which intelligently surfaces information to your phone at the right time, recently launched at a time when iPhone fragmentation is starting to pick up and when Android handsets in the U.S. are getting better and better. Earlier this year, Google brought its mobile anticipatory compute engine to the iOS platform, giving iPhone users the chance to see how always-on integrated Google services can work at the application layer, though the battery costs from background processing impose hefty power costs. All of this raises a high-order question: How will consumers interact with their phones in the future? Will it be through today's "hunting and pecking" of apps in silos with a mix of a suboptimal mobile web interface? Or, will mobile operating systems learn our behaviors so well as to predict and anticipate what we will want to do or know next, either by the time of day, the way in which we hold our phones or other signals? Or, will we continue to search for information on our phones as we search for information on the web with Google, by inputting keywords and having the ability to search across our apps (even the ones buried in the back pages or in folders)? This last question became more interesting this week when Android announced in its latest KitKat 4.4 update that it would enable App Indexing across apps through deep-linking. The interwebs were abuzz with the possibilities this would promote app discovery as well as re-engagement, helping to extend Google's core competency of indexing and ranking information to include applications, which, to date, remain in their own silos. Very soon, on Android (and not iOS), users will be able to search across their devices as well as have Google Now push information to them - it remains to be seen if Apple can or will want to move in this direction at an OS-level, or leave everything federated to the app layer. On iOS, there's a small, early-stage startup based out of Palo Alto called Relcy that is trying to provide an app to let users search their phones, including other apps, on Apple's mobile platform. And on both coasts, entrepreneurs have not forgotten about the mobile web, with startups like famo.us, Wildcard, and Instart Logic trying to reinvent what can be done with the content in the browser within a mobile context. All of these advancements come down to how we search for information on our phones, how we can and will discover new applications, and how we can and will re-engage with those services through a mix of user-initiated search and machine-anticipated prediction. While voice command interfaces for mobile seem like a pipe dream (though, hey, it could happen eventually), bringing standard search back to our phones and becoming empowered to find information within disparate app silos could theoretically unlock a significant amount of utility and save time. For developers, of course, it could help reduce the pain surrounding two harsh realities - getting new people to discover your app and, once they've downloaded it, getting them to engage again (and again) with the software. Will these advancements in Android unlock distribution for mobile developers and be the push they need to leave iOS? Whatever does happen, the mobile platform that can help with app distribution - whether through user intent and search, or through predictive services - will attract developers in droves.

Benchmark Partner Peter Fenton On Investor Luck, Tech IPOs And More


This past week, we were lucky enough to sit down with Benchmark partner and Twitter board member Peter Fenton backstage at TechCrunch Europe to talk about his magic touch. Of all the investors in the Valley, Fenton is one of the elite VCs who has the most number of companies that are in the process of going public or will be going public in 2014. This group includes Twitter, Zendesk, Zuora, New Relic and a number of others. We asked Fenton what his secret was in picking the companies that had the legs to be a public company. Fenton admits that luck has an important role in some of his successes and bets. He shared that he falls in love with the companies he invests in, with the passion coming from seeing the dynamic of a mission-based company and how the employees are growing with the startup. He adds that the current dynamic in this climate is to focus on an IPO vs. an exit (M&A was more popular in the previous generation of technology companies, he says).

Competitive Ruling Will Bring New Generation Of Swiss-Made Smartwatches


The Swatch Group has long been the primary movement supplier to the majority of Swiss (and non-Swiss) watch manufacturers. These movements - essentially the guts of the watch - have powered 60 percent of the world's watches in the past decade. That's about to end. WEKO, the Swiss competition commission, has required Swatch to supply these movements in order to ensure that watch prices wouldn't rise stratospherically when manufacturers began making their own movements. Swatch, for example, owns the ETA movement brand, manufacturer of hundreds of thousands of movements per year. This new ruling will allow Swatch to reduce its manufacturing efforts and increase its R&D expenditure. Why is this important? Well it means that Samsung, Sony, and the like are about to get a competitor. Because Swatch, one of the most popular watch brands, has an international foothold, it could, in theory, create smartwatches for the masses. While Swatch has traditionally had trouble making popular smartwatches and, in fact, has had trouble understanding consumer technology, Swatch could partner with technology providers to produce an interesting amalgam of old and new tech. Obviously the Swiss watch industry is, shall we say, a bit old-fashioned and is facing quite a few tough competitors. However, given a bit of marketing savvy and some R&D investment the shackles holding the company to its many customers could soon be broken.

Cambridge Audio Minx Xi Review: Give All Your Digital Audio A Big Upgrade – For A Price


UK-based Cambridge Audio has long made very well-regarded high-end audio equipment, but recently that's a market that has changed considerably, thanks to the advent of digital audio and online streaming services. The company has changed, too, and one example of that change is the new Minx Xi all-in one streaming device, which adds to Cambridge Audio's growing family of digital-focused Minx products. Basics Wi-Fi & Ethernet 2x USB 2.0 Toslink Optical audio in Digital S/PIDF input BT100 Bluetooth receiver included 2x RCA inputs 3.5mm audio input Headphone out 2x speaker out Subwoofer out Built-in Dual Wolfson WM8728 DAC MSRP: £600, $899 in the U.S. Product info page Pros Excellent sound DAC works wonders for Bluetooth or when connected via optical to a Mac Cons Wi-Fi but no AirPlay support Design Cambridge's Minx Xi is not dramatically different from what you might expect of any home theatre or hi-fi stereo component device; it's essentially a black box (or white, if you choose that option) with ample venting on top, a face with knobs and buttons, and a rear with the majority of inputs and outputs. But small design flourishes make this a very attractive, and decidedly modern piece of stereo kit. minx-xi-back minx-xi-fr-lft minx-xi-front-rgt minx-xi-main minx-xi-front-top View Slideshow Previous Next Exit The rounded rectangle border that surrounds the face is a nice touch, and frames the tall and wide display nicely. The display itself provides just enough information for easy navigation, without overwhelming or drawing the eye unduly. The low-res, basic LCD readout is a little behind the times in a market flooded with OLED panels, but it's actually pretty refreshing in its retro appeal, and still gets the job done just as effectively as more advanced screens. The Minx Xi case houses a lot of complicated internals, but it's still relatively compact, and would look at home either in a stereo cabinet or on its own atop a dresser, bookshelf or cupboard. Paired with Cambridge Audio's new Aero 2 bookshelf speakers, it makes a good-looking and minimalist setup that's still capable of putting out impressive enough sound even for watching the occasional Hollywood blockbuster. Features Movies are now where the Minx Xi shines, however. Instead, it's at its most impressive when it's working with streaming audio, an area that's always a challenge when it comes to sound quality. The Minx Xi connects direct to your network via Wi-Fi or Ethernet, and can stream thousands of Internet radio stations directly, access BBC's iPlayer feeds, subscribe to podcasts and more – without the need for a computer or mobile device for playback. The Minx Xi does a great job of making even, for example, the 128kbps BBC Radio 4 stream sound excellent, with terrific channel division and a natural rendering of voice and music. If you've been listening on computer speakers or even a very capable standalone radio, you'll probably actually be amazed that what comes through the Minx Xi is the same thing as what you're used to listening to, the difference is that marked. Subscribing to podcasts on the Minx Xi is as simple as registering your unit via the web and inputting RSS feeds via that dashboard. This provides you direct access to the latest episodes, and again, its ability to really highlight high-quality voice recording comes through. The Bluetooth adapter included is external, but it doesn't cost any extra, and it works tremendously well. There's generally a big step down in quality when you're listening to anything streaming via Bluetooth, even though it's gotten a lot better over time. With Cambridge's BT100 and the Minx Xi's special Bluetooth DAC capabilities, performance of A2DP streams get a big boost. Performance Just to expand on what I already mentioned above, the Bluetooth streaming powers of the Minx Xi make it so that streaming from your mobile device and listening through headphones is in some cases arguably better than listening to the stream on the device itself. It really is that good. That said, it leaves me wishing even more that Cambridge had included AirPlay functionality on the Minx Xi, since Apple's Wi-Fi audio streaming protocol offers better performance than Bluetooth to begin with. Performance for streamed connections is excellent, as mentioned, with 802.11n support and no drop-outs for streams during my usage. Connected to my Mac as a DAC, and used in tandem with both the Aero 2 speakers and my Sennheiser HD 598 headphones, the Minx Xi really starts to show off its magic abilities in terms of boosting audio that you might not even have realized could be improved to begin with. With both locally resident files, and streaming services like Rdio, the Minx Xi delivers noticeable improvements in quality to attached audio output devices, versus having that same hardware simply plugged directly into the Mac. There's significant improvement in sound separation and clarity on all files and streams, in my testing experience. Bottom Line The Cambridge Minx Xi isn't an impulse purchase for most at £600 ($899 MSRP in the U.S.), but it's a big step up in terms of the audio quality not only for Internet radio and service streams, and also for connected computers and devices. The service library is a little limited for my liking (Pandora and Rhapsody, but no Rdio/Spotify!), and I'd love AirPlay, but Cambridge Audio does say that firmware updates will be pushed out regularly, and support for those kinds of things could follow. That fact that it improves any source dramatically with a built-in DAC that would be expensive on its own, and also operates as a very capable and fairly comprehensive audio streaming box in and of itself, makes this a very desirable piece of kit for anyone looking to take their digital listening habits to the next level.

Amazon Reports Q3 Sales Of $17.09B, Up 24%, But Records Second Straight Loss


Amazon managed to beat expectations in its third quarter, with net sales of $17.09 billion, and a per-share loss of $0.09, or $41 million. The street had expected Amazon to lose $0.10 per share on sales of $16.8 billion. In after-hours trading, Amazon is up a strong 7 percent. Investors are clearly heartened by what they see. As Blair Frank of GeekWire points out, however, this is Amazon's second straight quarterly loss, and the company expects to lose a stunning $500 million in its fourth quarter. Component to that loss, however, is $350 million for stock-based compensation, and amortization of intangibles. So, the cash loss should be somewhat blunted. The company is growing like a weed, but not a very profitable weed. Amazon expects its net sales for the coming fourth quarter to land between $23.5 billion and $26.5 billion. Those figures represent a 10 percent to 25 percent year over year gain for the company. Amazon has around $7.7 billion in cash and equivalents, so it is hardly running low on funds. In its year-ago quarter, on $13.81 billion in net sales, Amazon lost $274 million. So, the quarter is progress of a sort. The company is infamous for its lackadaisical view towards profits, instead pouring money into growing its various business units. Amazon sells tablets, streams video, delivers all sort of goods - even groceries - while also providing enterprise-grade cloud computing solutions. It's a diverse firm. Amazon could slow investment, and reach higher levels of profitability. But not soon, it seems. On the good ship Bezos steams.