Monday, 23 December 2019

Max Q: Launches from SpaceX, Boeing and the ESA

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Typically, the holiday season is a slow one in the tech industry – but space tech is different, and this past week saw a flurry of activity including one of the most important rocket launches of the year.

Just about every significant new space company got in on the action during the past seven days, either with actual spacecraft launches, or with big announcements. And everything that went down sets up 2020 to be even crazier.

Boeing’s big year-end mission doesn’t go as planned

Boeing managed to get a crucial test launch in for its commercial crew program – which is NASA’s effort to get U.S. astronauts launching from U.S. soil once again. Boeing launched its ‘orbital flight test’ or OFT on Friday, and the actual rocket launch part of the flight went exactly as intended.

Unfortunately, what came next didn’t match up with what was supposed to happen: The Starliner spacecraft (which wasn’t actually carrying anyone for this test) ran into an error with its onboard mission clock that led to it expending more fuel more quickly than it should have, leaving it with not enough on board to make its planned rendez-vous with the ISS.

… but at least it stuck the landing

The Starliner capsule didn’t dock with the Space Station, but it still completed a number of key objectives, like demonstrating that its docking arm extended properly. Maybe most importantly, it also landed back on Earth on time and on target, per the revised mission plan that Boeing and NASA hammered out once they determined they couldn’t reach the station as planned. In space as in startups, even failures are successes of a kind.

SpaceX launches Falcon 9 but misses the fairing catch

SpaceX’s latest launch took place on Monday, and it was a success in just about every regard – except in terms of one of its secondary missions, which was an attempt to catch the two fairing halves that together cover the payload as the rocket ascends to space. SpaceX has been trying to catch these with ships at sea equipped with large nets, and it’s caught one previously. It’ll keep trying, just like it did with rocket booster landings, and could save up to $6 million per launch once it gets the process right.

Europe launched a planet-watcher

The European Space Agency also launched a rocket this week – a Soyuz carrying a new satellite that will observe exoplanets (planets outside our solar system) from orbit. It’ll be able to assess their density from that vantage point, giving us valuable new info about the potential habitability of distant heavenly bodies.

Apple might enter the satellite constellation game

Smartphone iPhone XS mockup. Design template for graphic design, motion graphics, digital marketing.

Apple apparently has its own team internally working on satellite communication technologies. This effort may or may not involve the iPhone-maker actually developing its own spacecraft, but it seems like the overall goal is to develop its own direct wireless communication network to work with iPhones and other Apple hardware.

Amazon is opening a dedicated HQ for its satellite business

Meanwhile, Amazon’s own satellite business is a known quantity called ‘Project Kuiper,’ and the company is going to double down on its investment next year with a new dedicated space for Kuiper’s R&D and prototype manufacturing. Eventually, Kuiper will be a constellation of low-Earth orbit satellites providing broadband to underserved and unserved areas of the globe.

Rocket Lab is already working on its third launch pad

Rocket Lab will be opening a third launch pad, the company announced, just after declaring its second in Virginia this month. The third launch site will be at the same spot as its first – on the Mahia peninsula in northern New Zealand.



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Sunday, 22 December 2019

Who will the winners be in the future of fintech?

So what happens when fintech ‘brings it all together’? In a world where people access their financial services through one universal hub, which companies are the best-positioned to win? When open data and protocols become the norm, what business models are set to capitalize on the resulting rush of innovation, and which will become the key back-end and front-end products underpinning finance in the 2020s?

It’s hard to make forward-looking predictions that weather a decade well when talking about the fortunes of individual companies. Still, even if these companies run into operating headwinds, the rationale for their success will be a theme we see play out over the next ten years.

Here are five companies positioned to win the 2020s in fintech:

1. Plaid

In 2014, I met Zach Perret and Carl Tremblay when they reached out to pitch Funding Circle on using Plaid to underwrite small and medium businesses with banking data. At the time, I couldn’t understand how a bank account API was a valuable business.

Plaid’s Series C round in 2018 came with a valuation of $2.65 billion, which caught a lot of people in fintech off-guard. The company, which had been modestly building financial services APIs since 2012, recently crossed the threshold of 10 billion transactions processed since inception.

For those unfamiliar with Plaid’s business model, it operates as the data exchange and API layer that ties financial products together. If you’ve ever paid someone on Venmo or opened a Coinbase account, chances are you linked your bank account through Plaid. It’s possible in 2020 to build a range of powerful financial products because fintechs can pull in robust data through aggregator services like Plaid, so a bet on the fintech industry is, in a sense, a derivative bet on Plaid.

Those 10 billion transactions, meanwhile, have helped Plaid understand the people on its’ clients fintech platforms. This gives it the data to build more value-added services on top of its transactions conduit, such as identity verification, underwriting, brokerage, digital wallets… the company has also grown at a breakneck pace, announcing recent expansions into the UK, France, Spain, and Ireland.

As banks, entrepreneurs, and everyone in-between build more tailored financial products on top of open data, those products will operate on top of secure, high-fidelity aggregators like Plaid.

The biggest unknown for aggregators like Plaid is whether any county debuts a universal, open-source financial services API that puts pricing pressure on a private version. However, this looks like a vanishingly remote possibility given high consumer standards for data security and Plaid’s value-added services.

2. Stripe

Predicting Stripe’s success is the equivalent of ‘buying high,’ but it is hard to argue against Stripe’s pole position over the next fintech decade. Stripe is a global payments processor that creates infrastructure for online financial transactions. What that means is: Stripe enables anyone to accept and make payments online. The payment protocol is so efficient that it’s won over the purchase processing business of companies like Target, Shopify, Salesforce, Lyft, and Oxfam.

Processing the world’s payments is a lucrative business, and one that benefits from the joint tailwinds of the growth of ecommerce and the growth of card networks like Visa and Mastercard. As long as more companies look to accept payment for services in some digital form, whether online or by phone, Stripe is well-positioned to be the intermediary.

The company’s success has allowed Stripe to branch into other services like Stripe Capital to lend directly to ecommerce companies based off their cashflow, or the Stripe Atlas turnkey tool for forming a new business entirely. Similar to Plaid, Stripe has a data network effects business, which means that as it collects more data by virtue of its transaction-processing business, it can leverage this core competency to launch more products associated with that data.

The biggest unknown for Stripe’s prospects is whether open-source payment processing technology gets developed in a way that puts price pressure on Stripe’s margins. Proponents of crypto as a medium of exchange predict that decentralized currencies could have such low costs that vendors are incentivized to switch to them to save on the fees of payment networks. However, in such an event Stripe could easily be a mercenary, and convert its processing business into a free product that underpins many other more lucrative services layered on-top (similar to the free trading transition brought about by Robinhood).



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Fintech’s next decade will look radically different

The birth and growth of financial technology developed mostly over the last ten years.

So as we look ahead, what does the next decade have in store? I believe we’re starting to see early signs: in the next ten years, fintech will become portable and ubiquitous as it moves to the background and centralizes into one place where our money is managed for us.

When I started working in fintech in 2012, I had trouble tracking competitive search terms because no one knew what our sector was called. The best-known companies in the space were Paypal and Mint.

fintech search volume

Google search volume for “fintech,” 2000 – present.

Fintech has since become a household name, a shift that came with with prodigious growth in investment: from $2 billion in 2010 to over $50 billion in venture capital in 2018 (and on-pace for $30 billion+ this year).

Predictions were made along the way with mixed results — banks will go out of business, banks will catch back up. Big tech will get into consumer finance. Narrow service providers will unbundle all of consumer finance. Banks and big fintechs will gobble up startups and consolidate the sector. Startups will each become their own banks. The fintech ‘bubble’ will burst.

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Here’s what did happen: fintechs were (and still are) heavily verticalized, recreating the offline branches of financial services by bringing them online and introducing efficiencies. The next decade will look very different. Early signs are beginning to emerge from overlooked areas which suggest that financial services in the next decade will:

  1. Be portable and interoperable: Like mobile phones, customers will be able to easily transition between ‘carriers’.
  2. Become more ubiquitous and accessible: Basic financial products will become a commodity and bring unbanked participants ‘online’.
  3. Move to the background: The users of financial tools won’t have to develop 1:1 relationships with the providers of those tools.
  4. Centralize into a few places and steer on ‘autopilot’.

Prediction 1: The open data layer

Thesis: Data will be openly portable and will no longer be a competitive moat for fintechs.

Personal data has never had a moment in the spotlight quite like 2019. The Cambridge Analytica scandal and the data breach that compromised 145 million Equifax accounts sparked today’s public consciousness around the importance of data security. Last month, the House of Representatives’ Fintech Task Force met to evaluate financial data standards and the Senate introduced the Consumer Online Privacy Rights Act.

A tired cliché in tech today is that “data is the new oil.” Other things being equal, one would expect banks to exploit their data-rich advantage to build the best fintech. But while it’s necessary, data alone is not a sufficient competitive moat: great tech companies must interpret, understand and build customer-centric products that leverage their data.

Why will this change in the next decade? Because the walls around siloed customer data in financial services are coming down. This is opening the playing field for upstart fintech innovators to compete with billion-dollar banks, and it’s happening today.

Much of this is thanks to a relatively obscure piece of legislation in Europe, PSD2. Think of it as GDPR for payment data. The UK became the first to implement PSD2 policy under its Open Banking regime in 2018. The policy requires all large banks to make consumer data available to any fintech which the consumer permissions. So if I keep my savings with Bank A but want to leverage them to underwrite a mortgage with Fintech B, as a consumer I can now leverage my own data to access more products.

Consortia like FDATA are radically changing attitudes towards open banking and gaining global support. In the U.S., five federal financial regulators recently came together with a rare joint statement on the benefits of alternative data, for the most part only accessible through open banking technology.

The data layer, when it becomes open and ubiquitous, will erode the competitive advantage of data-rich financial institutions. This will democratize the bottom of the fintech stack and open the competition to whoever can build the best products on top of that openly accessible data… but building the best products is still no trivial feat, which is why Prediction 2 is so important:

Prediction 2: The open protocol layer

Thesis: Basic financial services will become simple open-source protocols, lowering the barrier for any company to offer financial products to its customers.

Picture any investment, wealth management, trading, merchant banking, or lending system. Just to get to market, these systems have to rigorously test their core functionality to avoid legal and regulatory risk. Then, they have to eliminate edge cases, build a compliance infrastructure, contract with third-party vendors to provide much of the underlying functionality (think: Fintech Toolkit) and make these systems all work together.

The end result is that every financial services provider builds similar systems, replicated over and over and siloed by company. Or even worse, they build on legacy core banking providers, with monolith systems in outdated languages (hello, COBOL). These services don’t interoperate, and each bank and fintech is forced to become its own expert at building financial protocols ancillary to its core service.

But three trends point to how that is changing today:

First, the infrastructure and service layer to build is being disaggregates, thanks to platforms like Stripe, Marqeta, Apex, and Plaid. These ‘finance as a service’ providers make it easy to build out basic financial functionality. Infrastructure is currently a hot investment category and will be as long as more companies get into financial services — and as long as infra market leaders can maintain price control and avoid commoditization.

Second, industry groups like FINOS are spearheading the push for open-source financial solutions. Consider a Github repository for all the basic functionality that underlies fintech tools. Developers could continuously improve the underlying code. Software could become standardized across the industry. Solutions offered by different service providers could become more inter-operable if they shared their underlying infrastructure.

And third, banks and investment managers, realizing the value in their own technology, are today starting to license that technology out. Examples are BlackRock’s Aladdin risk-management system or Goldman’s Alloy data modeling program. By giving away or selling these programs to clients, banks open up another revenue stream, make it easy for the financial services industry to work together (think of it as standardizing the language they all use), and open up a customer base that will provide helpful feedback, catch bugs, and request new useful product features.

As Andreessen Horowitz partner Angela Strange notes, “what that means is, there are several different infrastructure companies that will partner with banks and package up the licensing process and some regulatory work, and all the different payment-type networks that you need. So if you want to start a financial company, instead of spending two years and millions of dollars in forming tons of partnerships, you can get all of that as a service and get going.”

Fintech is developing in much the same way computers did: at first software and hardware came bundled, then hardware became below differentiated operating systems with ecosystem lock-in, then the internet broke open software with software-as-a-service. In that way, fintech in the next ten years will resemble the internet of the last twenty.

placeholder vc infographic

Infographic courtesy Placeholder VC

Prediction 3: Embedded fintech

Thesis: Fintech will become part of the basic functionality of non-finance products.

The concept of embedded fintech is that financial services, rather than being offered as a standalone product, will become part of the native user interface of other products, becoming embedded.

This prediction has gained supporters over the last few months, and it’s easy to see why. Bank partnerships and infrastructure software providers have inspired companies whose core competencies are not consumer finance to say “why not?” and dip their toes in fintech’s waters.

Apple debuted the Apple Card. Amazon offers its Amazon Pay and Amazon Cash products. Facebook unveiled its Libra project and, shortly afterward, launched Facebook Pay. As companies from Shopify to Target look to own their payment and purchase finance stacks, fintech will begin eating the world.

If these signals are indicative, financial services in the next decade will be a feature of the platforms with which consumers already have a direct relationship, rather than a product for which consumers need to develop a relationship with a new provider to gain access.

Matt Harris of Bain Capital Ventures summarizes in a recent set of essays (one, two) what it means for fintech to become embedded. His argument is that financial services will be the next layer of the ‘stack’ to build on top of internet, cloud, and mobile. We now have powerful tools that are constantly connected and immediately available to us through this stack, and embedded services like payments, transactions, and credit will allow us to unlock more value in them without managing our finances separately.

Fintech futurist Brett King puts it even more succinctly: technology companies and large consumer brands will become gatekeepers for financial products, which themselves will move to the background of the user experiences. Many of these companies have valuable data from providing sticky, high-affinity consumer products in other domains. That data can give them a proprietary advantage in cost-cutting or underwriting (eg: payment plans for new iPhones). The combination of first-order services (eg: making iPhones) with second-order embedded finance (eg: microloans) means that they can run either one as a loss-leader to subsidize the other, such as lowering the price of iPhones while increasing Apple’s take on transactions in the app store.

This is exciting for the consumers of fintech, who will no longer have to search for new ways to pay, invest, save, and spend. It will be a shift for any direct-to-consumer brands, who will be forced to compete on non-brand dimensions and could lose their customer relationships to aggregators.

Even so, legacy fintechs stand to gain from leveraging the audience of big tech companies to expand their reach and building off the contextual data of big tech platforms. Think of Uber rides hailed from within Google Maps: Uber made a calculated choice to list its supply on an aggregator in order to reach more customers right when they’re looking for directions.

Prediction 4: Bringing it all together

Thesis: Consumers will access financial services from one central hub.

In-line with the migration from front-end consumer brand to back-end financial plumbing, most financial services will centralize into hubs to be viewed all in one place.

For a consumer, the hub could be a smartphone. For a small business, within Quickbooks or Gmail or the cash register.

As companies like Facebook, Apple, and Amazon split their operating systems across platforms (think: Alexa + Amazon Prime + Amazon Credit Card), benefits will accrue to users who are fully committed to one ecosystem so that they can manage their finances through any platform — but these providers will make their platforms interoperable as well so that Alexa (e.g.) can still win over Android users.

As a fintech nerd, I love playing around with different financial products. But most people are not fintech nerds and prefer to interact with as few services as possible. Having to interface with multiple fintechs separately is ultimately value subtractive, not additive. And good products are designed around customer-centric intuition. In her piece, Google Maps for Money, Strange calls this ‘autonomous finance:’ your financial service products should know your own financial position better than you do so that they can make the best choices with your money and execute them in the background so you don’t have to.

And so now we see the rebundling of services. But are these the natural endpoints for fintech? As consumers become more accustomed to financial services as a natural feature of other products, they will probably interact more and more with services in the hubs from which they manage their lives. Tech companies have the natural advantage in designing the product UIs we love — do you enjoy spending more time on your bank’s website or your Instagram feed? Today, these hubs are smartphones and laptops. In the future, could they be others, like emails, cars, phones or search engines?

As the development of fintech mirrors the evolution of computers and the internet, becoming interoperable and embedded in everyday services, it will radically reshape where we manage our finances and how little we think about them anymore. One thing is certain: by the time I’m writing this article in 2029, fintech will look very little like it did today.

So which financial technology companies will be the ones to watch over the next decade? Building off these trends, we’ve picked five that will thrive in this changing environment.



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Who will the winners be in the future of fintech?

So what happens when fintech ‘brings it all together’? In a world where people access their financial services through one universal hub, which companies are the best-positioned to win? When open data and protocols become the norm, what business models are set to capitalize on the resulting rush of innovation, and which will become the key back-end and front-end products underpinning finance in the 2020s?

It’s hard to make forward-looking predictions that weather a decade well when talking about the fortunes of individual companies. Still, even if these companies run into operating headwinds, the rationale for their success will be a theme we see play out over the next ten years.

Here are five companies positioned to win the 2020s in fintech:

1. Plaid

In 2014, I met Zach Perret and Carl Tremblay when they reached out to pitch Funding Circle on using Plaid to underwrite small and medium businesses with banking data. At the time, I couldn’t understand how a bank account API was a valuable business.

Plaid’s Series C round in 2018 came with a valuation of $2.65 billion, which caught a lot of people in fintech off-guard. The company, which had been modestly building financial services APIs since 2012, recently crossed the threshold of 10 billion transactions processed since inception.

For those unfamiliar with Plaid’s business model, it operates as the data exchange and API layer that ties financial products together. If you’ve ever paid someone on Venmo or opened a Coinbase account, chances are you linked your bank account through Plaid. It’s possible in 2020 to build a range of powerful financial products because fintechs can pull in robust data through aggregator services like Plaid, so a bet on the fintech industry is, in a sense, a derivative bet on Plaid.

Those 10 billion transactions, meanwhile, have helped Plaid understand the people on its’ clients fintech platforms. This gives it the data to build more value-added services on top of its transactions conduit, such as identity verification, underwriting, brokerage, digital wallets… the company has also grown at a breakneck pace, announcing recent expansions into the UK, France, Spain, and Ireland.

As banks, entrepreneurs, and everyone in-between build more tailored financial products on top of open data, those products will operate on top of secure, high-fidelity aggregators like Plaid.

The biggest unknown for aggregators like Plaid is whether any county debuts a universal, open-source financial services API that puts pricing pressure on a private version. However, this looks like a vanishingly remote possibility given high consumer standards for data security and Plaid’s value-added services.

2. Stripe

Predicting Stripe’s success is the equivalent of ‘buying high,’ but it is hard to argue against Stripe’s pole position over the next fintech decade. Stripe is a global payments processor that creates infrastructure for online financial transactions. What that means is: Stripe enables anyone to accept and make payments online. The payment protocol is so efficient that it’s won over the purchase processing business of companies like Target, Shopify, Salesforce, Lyft, and Oxfam.

Processing the world’s payments is a lucrative business, and one that benefits from the joint tailwinds of the growth of ecommerce and the growth of card networks like Visa and Mastercard. As long as more companies look to accept payment for services in some digital form, whether online or by phone, Stripe is well-positioned to be the intermediary.

The company’s success has allowed Stripe to branch into other services like Stripe Capital to lend directly to ecommerce companies based off their cashflow, or the Stripe Atlas turnkey tool for forming a new business entirely. Similar to Plaid, Stripe has a data network effects business, which means that as it collects more data by virtue of its transaction-processing business, it can leverage this core competency to launch more products associated with that data.

The biggest unknown for Stripe’s prospects is whether open-source payment processing technology gets developed in a way that puts price pressure on Stripe’s margins. Proponents of crypto as a medium of exchange predict that decentralized currencies could have such low costs that vendors are incentivized to switch to them to save on the fees of payment networks. However, in such an event Stripe could easily be a mercenary, and convert its processing business into a free product that underpins many other more lucrative services layered on-top (similar to the free trading transition brought about by Robinhood).



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Whatever happened to the Next Big Things?

In tech, this was the smartphone decade. In 2009, Symbian was still the dominant ‘smartphone’ OS, but 2010 saw the launch of the iPhone 4, the Samsung Galaxy S, and the Nexus One, and today Android and iOS boast four billion combined active devices. Smartphones and their apps are a mature market, now, not a disruptive new platform. So what’s next?

The question presupposes that something has to be next, that this is a law of nature. It’s easy to see why it might seem that way. Over the last thirty-plus years we’ve lived through three massive, overlapping, world-changing technology platform shifts: computers, the Internet, and smartphones. It seems inevitable that a fourth must be on the horizon.

There have certainly been no shortage of nominees over the last few years. AR/VR; blockchains; chatbots; the Internet of Things; drones; self-driving cars. (Yes, self-driving cars would be a platform, in that whole new sub-industries would erupt around them.) And yet one can’t help but notice that every single one of those has fallen far short of optimistic predictions. What is going on?

You may recall that the growth of PCs, the Internet, and smartphones did not ever look wobbly or faltering. Here’s a list of Internet users over time: from 16 million in 1995 to 147 million in 1998. Here’s a list of smartphone sales since 2009: Android went from sub-1-million units to over 80 million in just three years. That’s what a major platform shift looks like.

Let’s compare each of the above, shall we? I don’t think it’s an unfair comparison. Each has had champions arguing it will, in fact, be That Big, and even people with more measured expectations have predicted growth will at least follow the trajectory of smartphones or the Internet, albeit maybe to a lesser peak. But in fact…

AR/VR: Way back in 2015 I spoke to a very well known VC who confidently predicted a floor of 10 million devices per year well before the end of this decade. What did we get? 3.7M to 4.7M to 6M, 2017 through 2019, while Oculus keeps getting reorg’ed. A 27% annual growth rate is OK, sure, but a consistent 27% growth rate is more than a little worrying for an alleged next big thing; it’s a long, long way from “10xing in three years.” Many people also predicted that by the end of this decade Magic Leap would look like something other than an utter shambles. Welp. As for other AR/VR startups, their state is best described as “sorry.”

Blockchains: I mean, Bitcoin’s doing just fine, sure, and is easily the weirdest and most interesting thing to have happened to tech in the 2010s; but the entire rest of the space? I’m broadly a believer in cryptocurrencies, but if you were to have suggested in mid-2017 to a true believer that, by the end of 2019, enterprise blockchains would essentially be dead, decentralized app usage would still be measured in the low thousands, and no real new use cases would have arisen other than collateralized lending for a tiny coterie — I mean, they would have been outraged. And yet, here we are.

Chatbots: No, seriously, chatbots were celebrated as the platform of the future not so long ago. (Alexa, about which more in a bit, is not a chatbot.) “The world is about to be re-written, and bots are going to be a big part of the future” was an actual quote. Facebook M was the future. It no longer exists. Microsoft’s Tay was the future. It really no longer exists. It was replaced by Zo. Did you know that? I didn’t. Zo also no longer exists.

The Internet of Things: let’s look at a few recent headlines, shall we? “Why IoT Has Consistently Fallen Short of Predictions.” “Is IoT Dead?” “IoT: Yesterday’s Predictions vs. Today’s Reality.” Spoiler: that last one does not discuss about how reality has blown previous predictions out of the water. Rather, “The reality turned out to be far less rosy.”

Drones: now, a lot of really cool things are happening in the drone space, I’ll be the first to aver. But we’re a long way away from physical packet-switched networks. Amazon teased Prime Air delivery way back in 2015 and made its first drone delivery way back in 2016, which is also when it patented its blimp mother ship. People expected great things. People still expect great things. But I think it’s fair to say they expected … a bit more … by now.

Self-driving cars: We were promised so much more, and I’m not even talking about Elon Musk’s hyperbole. From 2016: “10 million self-driving cars will be on the road by 2020.” “True self-driving cars will arrive in 5 years, says Ford“. We do technically have a few, running in a closed pilot project in Phoenix, courtesy of Waymo, but that’s not what Ford was talking about: “Self-driving Fords that have no steering wheels, brake or gas pedals will be in mass production within five years.” So, 18 months from now, then. 12 months left for that “10 million” prediction. You’ll forgive a certain skepticism on my part.

The above doesn’t mean we haven’t seen any successes, of course. A lot of new kinds of products have been interesting hits: AirPods, the Apple Watch, the Amazon Echo family. All three are more new interfaces than whole new major platforms, though; not so much a gold rush as a single vein of silver.

You may notice I left machine learning / AI off the list. This is in part because it definitely has seen real qualitative leaps, but a) there seems to be a general concern that we may have entered the flattening of an S-curve there, rather than continued hypergrowth, b) either way, it’s not a platform. Moreover, the wall that both drones and self-driving cars have hit is labelled General Purpose Autonomy … in other words, it is an AI wall. AI does many amazing things, but when people predicted 10M self-driving cars on the roads next year, it means they predicted AI would be good enough to drive them. In fact it’s getting there a lot slower than we expected.

Any one of these technologies could define the next decade. But another possibility, which we have to at least consider, is that none of them might. It is not an irrefutable law of nature that just as one major tech platform begins to mature another must inevitably start its rise. We may well see a lengthy gap before the next Next Big Thing. Then we may see two or three rise simultaneously. But if your avowed plan is that this time you’re totally going to get in on the ground floor — well, I’m here to warn you, you may have a long wait in store.



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Whatever happened to the Next Big Things?

In tech, this was the smartphone decade. In 2009, Symbian was still the dominant ‘smartphone’ OS, but 2010 saw the launch of the iPhone 4, the Samsung Galaxy S, and the Nexus One, and today Android and iOS boast four billion combined active devices. Smartphones and their apps are a mature market, now, not a disruptive new platform. So what’s next?

The question presupposes that something has to be next, that this is a law of nature. It’s easy to see why it might seem that way. Over the last thirty-plus years we’ve lived through three massive, overlapping, world-changing technology platform shifts: computers, the Internet, and smartphones. It seems inevitable that a fourth must be on the horizon.

There have certainly been no shortage of nominees over the last few years. AR/VR; blockchains; chatbots; the Internet of Things; drones; self-driving cars. (Yes, self-driving cars would be a platform, in that whole new sub-industries would erupt around them.) And yet one can’t help but notice that every single one of those has fallen far short of optimistic predictions. What is going on?

You may recall that the growth of PCs, the Internet, and smartphones did not ever look wobbly or faltering. Here’s a list of Internet users over time: from 16 million in 1995 to 147 million in 1998. Here’s a list of smartphone sales since 2009: Android went from sub-1-million units to over 80 million in just three years. That’s what a major platform shift looks like.

Let’s compare each of the above, shall we? I don’t think it’s an unfair comparison. Each has had champions arguing it will, in fact, be That Big, and even people with more measured expectations have predicted growth will at least follow the trajectory of smartphones or the Internet, albeit maybe to a lesser peak. But in fact…

AR/VR: Way back in 2015 I spoke to a very well known VC who confidently predicted a floor of 10 million devices per year well before the end of this decade. What did we get? 3.7M to 4.7M to 6M, 2017 through 2019, while Oculus keeps getting reorg’ed. A 27% annual growth rate is OK, sure, but a consistent 27% growth rate is more than a little worrying for an alleged next big thing; it’s a long, long way from “10xing in three years.” Many people also predicted that by the end of this decade Magic Leap would look like something other than an utter shambles. Welp. As for other AR/VR startups, their state is best described as “sorry.”

Blockchains: I mean, Bitcoin’s doing just fine, sure, and is easily the weirdest and most interesting thing to have happened to tech in the 2010s; but the entire rest of the space? I’m broadly a believer in cryptocurrencies, but if you were to have suggested in mid-2017 to a true believer that, by the end of 2019, enterprise blockchains would essentially be dead, decentralized app usage would still be measured in the low thousands, and no real new use cases would have arisen other than collateralized lending for a tiny coterie — I mean, they would have been outraged. And yet, here we are.

Chatbots: No, seriously, chatbots were celebrated as the platform of the future not so long ago. (Alexa, about which more in a bit, is not a chatbot.) “The world is about to be re-written, and bots are going to be a big part of the future” was an actual quote. Facebook M was the future. It no longer exists. Microsoft’s Tay was the future. It really no longer exists. It was replaced by Zo. Did you know that? I didn’t. Zo also no longer exists.

The Internet of Things: let’s look at a few recent headlines, shall we? “Why IoT Has Consistently Fallen Short of Predictions.” “Is IoT Dead?” “IoT: Yesterday’s Predictions vs. Today’s Reality.” Spoiler: that last one does not discuss about how reality has blown previous predictions out of the water. Rather, “The reality turned out to be far less rosy.”

Drones: now, a lot of really cool things are happening in the drone space, I’ll be the first to aver. But we’re a long way away from physical packet-switched networks. Amazon teased Prime Air delivery way back in 2015 and made its first drone delivery way back in 2016, which is also when it patented its blimp mother ship. People expected great things. People still expect great things. But I think it’s fair to say they expected … a bit more … by now.

Self-driving cars: We were promised so much more, and I’m not even talking about Elon Musk’s hyperbole. From 2016: “10 million self-driving cars will be on the road by 2020.” “True self-driving cars will arrive in 5 years, says Ford“. We do technically have a few, running in a closed pilot project in Phoenix, courtesy of Waymo, but that’s not what Ford was talking about: “Self-driving Fords that have no steering wheels, brake or gas pedals will be in mass production within five years.” So, 18 months from now, then. 12 months left for that “10 million” prediction. You’ll forgive a certain skepticism on my part.

The above doesn’t mean we haven’t seen any successes, of course. A lot of new kinds of products have been interesting hits: AirPods, the Apple Watch, the Amazon Echo family. All three are more new interfaces than whole new major platforms, though; not so much a gold rush as a single vein of silver.

You may notice I left machine learning / AI off the list. This is in part because it definitely has seen real qualitative leaps, but a) there seems to be a general concern that we may have entered the flattening of an S-curve there, rather than continued hypergrowth, b) either way, it’s not a platform. Moreover, the wall that both drones and self-driving cars have hit is labelled General Purpose Autonomy … in other words, it is an AI wall. AI does many amazing things, but when people predicted 10M self-driving cars on the roads next year, it means they predicted AI would be good enough to drive them. In fact it’s getting there a lot slower than we expected.

Any one of these technologies could define the next decade. But another possibility, which we have to at least consider, is that none of them might. It is not an irrefutable law of nature that just as one major tech platform begins to mature another must inevitably start its rise. We may well see a lengthy gap before the next Next Big Thing. Then we may see two or three rise simultaneously. But if your avowed plan is that this time you’re totally going to get in on the ground floor — well, I’m here to warn you, you may have a long wait in store.



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Saturday, 21 December 2019

This Week in Apps: the year and decade in review, gaming acquisitions and a Facebook OS

Welcome back to This Week in Apps, the Extra Crunch series that recaps the latest OS news, the applications they support and the money that flows through it all.

The app industry is as hot as ever, with 194 billion downloads last year and more than $100 billion in consumer spending. People spend 90% of their mobile time in apps and more time using their mobile devices than watching TV. Apps aren’t just a way to waste idle hours — they’re big business, one that often seems to change overnight.

In this Extra Crunch series, we help you to keep up with the latest news from the world of apps, delivered on a weekly basis.

Headlines

The top apps of the year… and the decade

App Annie this week released its list of the year’s top apps. And this time around, it also included the top apps of the past 10 years in its analysis. Outside of games, Facebook dominated the decade, the firm reported. It ran the four most-downloaded apps of the decade, including Facebook (#1), Messenger (#2), WhatsApp (#3), and Instagram (#4). Other communication and social media apps were also among the most popular over the past 10 years, claiming seven out of the 10 top spots, including Snapchat (#5), Skype (#6) and Twitter (#10). Social video platforms TikTok and YouTube also placed on the list at #7 and #9, respectively. And yes, it’s pretty notable that TikTok — an app that only launched outside of China in 2017 — is one of the most-downloaded apps of the past decade. Meanwhile, even though dating app Tinder was the most profitable app this year, Netflix was the No. 1 app by all-time consumer spend over the past decade.

2019 app downloads and consumer spending

Related to its round-up of the top apps, App Annie also offered some preliminary data on downloads and consumer spending in 2019. Its current figures don’t include calculations from third-party app stores in China, (like those referenced above), which App Annie tends to provide in its annual State of Mobile report. Instead, App Annie reports we’re on track to see 120 billion apps from Apple’s App Store and Google Play by the end of 2019, a 5% increase from 2018. Consumer spending was also up 15% year-over-year to reach $90 billion, it says. Expect a full analysis to come in Q1 2020.

Facebook still sat at the top of the charts for 2019. The company’s Messenger app was the most downloaded non-game app of 2019, followed by Facebook’s main app, then WhatsApp. Tinder switched places with Netflix for the No. 1 spot on this chart — last year, it was the other way around. (For more details, TechCrunch’s full review is here.)

2019 in Mobile Gaming

According to a year-end report by GamesIndustry.biz, mobile gaming grew 9.7% year-over-year in 2019 to reach a market value of $68.2 billion. The gaming market as a whole was worth $148.8 billion, the report said. Smartphone games were the biggest piece of this figure, at $54.7 billion, compared with $13.4 billion for tablet games. That means smartphone games are still bigger than PC, browser PC games, boxed and downloaded PC games, and console games.

Big moves in cloud gaming

To beef up its new cloud gaming service Stadia, Google this week bought game development firm Typhoon Studios, who were set to release their cross-platform title and first game, Journey to the Savage Planet. Google had said it wants to build out a few different first-party studios to release content on Stadia, which is where this acquisition fits in. Meanwhile, Facebook this week acquired the cloud gaming startup, PlayGiga, which had been working with telcos to create streaming game technology for 5G.

Stadia has a big mobile component, as its controller can play games on compatible mobile devices like Pixel phones. Gaming has been a big part of Facebook’s mobile efforts, as not only a platform where games can be played, but also a place to watch live game streams, similar to Twitch. But the big gaming trend of the past year (which will continue into 2020) is cross-platform gaming — thanks to games like Fortnite, Roblox and PUBG Mobile, as well as devices like Nintendo Switch, gamers expect to continue playing no matter what screen they happen to be using at the time.

Apple Developer app expands support for China

Apple launched a dedicated mobile app for its developer community in November, with the arrival of the Apple Developer app, which was an upgraded and rebranded version of Apple’s existing WWDC app. The app lets developers access resources like technical and design articles, as well as read news, watch developer videos, and enroll in the Apple Developer program. Now that the program is open to China through the app, Apple announced this week.

From the app, developers in China can start and complete their Apple Developer membership and pay with a local payment method on their iPhone or iPad. They can also renew their membership, to keep their account active. Apple has been heavily investing in growing its international developer community by launching developer academies and accelerators in key regions, among other initiatives. Over the past year, Apple grew its developer community in China by 17%, the company earlier said.

So much for nostalgia, Rewound gets yanked from the App Store

We hope you downloaded this fun app when we told you to in last week’s column! Because now it’s gone.

Rewound, briefly, was a clever music player app that turns your iPhone into a 2000’s era iPod, complete with click wheel nav. The developer was able to sneak the app into the App Store by not including the actual iPod UI, which infringes on Apple’s own product design. Instead, the UI pieces were hosted off-site — on Twitter accounts, for example. Users could find them and download them after they installed the app. Technically, that means the App Store app itself wasn’t infringing, but Apple still kicked it out. The developer also charged a fee to access the Apple Music features, which may have been another reason for its removal.

It’s no surprise Apple took this step, but the developer seems confused as to how the app could be approved then pulled later on, even though it hadn’t changed. That’s actually par for the course for Apple’s subjective, editorial decisions over its App Store, however. Now Rewound, which has 170K+ users after only a few days, will focus on a web app and Android version.

Facebook is building its own OS so it can ditch Android



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