IPO Mafias, BODM and Brands Born From the U.S. Election: Three Mobile Trends Starting to Unfold

With more than one month of 2012 down and still two weeks to go until the largest mobile and gaming industry trade shows — Mobile World Congress and Game Developers Conference — here are three trends that are starting to unfold and should define the year of mobile technology.

  1. The rise of BODM (build once, deploy many) platforms

    Mobile platform fragmentation is growing — the broad range of platforms currently encompasses iOS, Android, BlackBerry, Windows Mobile, Bada, Symbian, Kindle and Nook, just to name a few. The result has been a wave of “build once, deploy many” platforms to create and distribute mobile applications, which will continue to grow in popularity as developers and content creators simply forgo the onerous task of building something unique for each mobile platform.

    According to a 2011 Nielsen Smartphone analytics report, Android users spend nearly an hour a day interacting with apps and the Web on their phones, with apps (67 percent) accounting for nearly twice the amount of time as the Web (33 percent). Bearing this consumption profile in mind, the economics of mobile content doesn’t encourage investment in new mobile development platforms as long as monetization doesn’t scale with these costs. In other words, developers won’t want to spend more on developing their app while the revenue they bring in is modestly incremental or flat.

    Among the most well-known platforms are PhoneGap, Spaceport.io (a.k.a. Siblingz, Inc.) for games and Appcelerator, the latter of which has already had more than 30,000 apps built using its platform. The approach of some of these services is that they enable developers to unlock the value of mobile web development with native app wrappers. However, a more challenging platform fragmentation problem has been largely ignored: unlocking app development for non-technical consumers and independent content creators through a compelling graphical user interface (GUI).

    Presently, non-technical content creators are disenfranchised from mobile app development unless they invest, usually unprofitably, in mobile web and app development services, or they learn to code outright.

    One company, kleverbeast, is tackling this challenge. Having already signed up prominent beta enterprise customers and non-technical content creators, kleverbeast is empowering digital app publishing across iOS, Android, and other emerging platforms with a compelling native user experience for their app owners’ audiences. The unique technology and market strategy has helped kleverbeast address mobile platform fragmentation, not just for developers, but also for the benefit of the average consumer.

    This new breed of BODM companies will proliferate in 2012, and I expect more than a million apps and game titles will choose this path.

  2. Angel funding valve tightens and IPO mafias move into the picture

    Angel investing has risen in popularity over the past two years, but the long tail of unproven individual angels will wane as two events unfold: (1) Many angel-funded start-ups will go belly-up, unable to secure Series A financing or a bridge loan, and (2) institutional investors will adroitly strong-arm early, passive investors.

    Angel dollars widen the capital base available to entrepreneurs in early tech start-ups opening the door to tech innovation. However, many of these new angel investors don’t realize that frequently they will be squeezed down on their ownership percentage in subsequent rounds of financing and face less favorable terms. Many fresh angels have assumed greater risk than is commensurate with their early ownership and expected more upside than they end up getting. Subsequently, some angels won’t have the capital to diversify their portfolios or participate in follow-up rounds of financing.

    Investing can be risky for many fresh angels hungry to keep up with the Joneses and raise their social capital. As these lessons are learned, angel investing will swing back to some rational levels.

    The flipside of this may be the next IPO mafias. Expect a new crop of angel investors to emerge from some of those who benefited from Groupon, Zynga and the much-anticipated Facebook IPO. These IPO angels will take over early-stage deals and fund employees from these successful brands that decide to go it on their own. Ex-Googlers fund ex-Googlers all the time, and the mafias of tech titans will continue to proliferate.

  3. One great new mobile social media company will be born out of the U.S. election cycle of 2012

    In 2008, President Barack Obama was widely praised for his mobile marketing prowess, which many political strategists evangelized as contributing to his victory in the election and igniting the youth base to get out and vote.

    Campaign managers utilized a combination of social and mobile media vehicles, with several businesses benefiting as a result: from ad networks like Quattro Wireless (acquired by Apple in 2010), to start-up companies like CommerceTel, which powered the President’s interactive voice applications.

    Adding weight to this trend are emerging consumer behaviors over social networks and the power of indirect, viral outreach. A study conducted by SocialVibe revealed that “94 percent of social media users of voting age engaged by a political message watched the entire message, and 39 percent of those people shared it with an average of 130 friends.” Powerful, period.

    The power of social technology to empower and persuade won’t be ignored by today’s candidates, and we’ll likely see the emergence of at least one great company out of the 2012 election.

If the rest of this year is anything like the last one, we’re in for a wild ride of fragmentation, consolidation and innovation.

Dinesh Moorjani is the founder and CEO of Hatch Labs, a mobile start-up incubator creating new platforms and applications to improve mobility for the wireless generation.


comments so far. Add yours.

  • Anonymous

    I see only one basic change by Apple in redefining the human / machine relationship – verbal interface.

    Apple Siri allows iOS apps to listen to users in fluent natural English, or other mother tongues, and reply in the same fluent natural mother tongue language.

    This completely alters the relationship between Man and Machine. Apple Siri makes iOS machines fully conversant with humans using identical concepts, ideas, and idioms. Apple Siri will be the only machine humans will use through fluent intelligence use of mother tongue languages, what more can be more powerful, useful and meaningful?

    Already, thousands of real entrepreneurs are concentrating in Silicon Valley, many of whom are EE, designers, programmers, eager to push the hardware and apps beyond their current limits, to communicate and process in human concepts, ideas, and idioms.

  • Anonymous

    Really, you never noticed all the other companies ‘verbal – interface’?   Never made a support call to utilities or other big business in the last decade?  Never been in a Ford with Sync?  It boggles the mind how people see something that’s new to them and then, without checking, go on about how there favorite brand is redefining something when all they are really doing is catching up to the standard and at most pushing the field ahead by a modest amount.  Siri is great but it’s not revolutionary it’s evolutionary and it doesn’t make machines fully conversant with humans, it’s only ans good a as the use cases people programmed into it.

  • Anonymous

    You are in the 1940s. Read up on Japanese Fifth Generation Project, Natural Lanaguage, artificial intelligence and don’t mess up Siri with Voice Command or other IVR simplistic tools and technologies. Siri is artificial intelligence, systems that actually learn over time, just like human beings. If you say robotics than yes I would agree Siri and robotics are similarly using artificial intelligence, but you are talking things you know nothing about, and which are at the bleeding edge of science and engineering. Do you know what artificial intelligence is?

  • Anonymous

    I know what artificial intelligence is and people haven’t invented it yet, check wiki, the height of AI right now is IBMs Watson and that is a computer the size of a room.  Kind of hard for Siri or any technology to be something that doesn’t it exist.  Your confusion is coming from not getting the distinction between learning and aggregating data over time to come up with the most likely event.  If you mangle the same sentence, the same way over and over again eventually Siri will figure it out and by figure it out I mean use algorithms to match the sentence to a string of text and see if it “figured” it out correctly (by saying “Did you mean…”) then note the accuracy of it’s guess.  Eventually through trial and error (if you have the patience to keep trying), that mangled sentence will be mapped to  something acceptable to Siri and it will execute accordingly.  Evolutionary not AI.  If it was true AI it would understand English spoken by a non North American without an issue, ask an Australian if Siri worked right out of the box or better yet ask a person from England, you know the country that created the language that Siri “understands”.

    Also last time I checked the 1940s didn’t have voice commands for the utility companies phone lines.  Those were real people.

  • Anonymous

    Robots are highly intelligent. Expert systems are highly knowledgeable. IBM Deep Blue defeated Kasparov in chess. Many machine have learning and analytical powers far exceeding humans. These are results of the Japanese Fifth Generation Project artificial intelligence project resulting in many machines doing expert jobs. Most of the human jobs now can be handled by sophisticated analytical machines. Spy satellites can differentiate a fire hydrant from a dog. Even AutoCad can vBNS trained to do auto designs and engineering tasks. Natural Language is one AI branch that has not been fully deployed. Whereas even the cheapest computer chess game can handily defeat any human chess player now, there are not many verbal machines that analyze and process human speeches yet, Siri is Apple’s commerciation of AI application in analyzing and processing human language. Voice commands processors parse speech into elements but do not store them as ‘machine learning’, AI learns and process knowledge acting upon expert systems and linguistics. Siri is not a voice command parser, Siri actually learns using the learning systems humans use, through memory and the recalls of knowledge in applying them to scenarios and interactions. The voice command processors are strictly parsing of commands, and the telephony support system is human operators using a telephony system to answer and resolve service calls, since the 1940s.

  • Anonymous

      AI doesn’t exist yet, get over it.

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