When Business Meets Technology
Written 2 years ago

Imagine it’s 2004 again. And you’re toying with the idea of building a website that delivers video on demand to end-users, and on the other hand it also permits them to share their videos with others. The Long-Tail concept was hot back then, and if Amazon could do it for retail, why not do it for media? Here’s what you might have done back then:
- First thing: estimate the average cost of digitalizing a video, upload it to a server, compress it, and distribute it on many servers so it can be easily accessible by anyone around the world.
- Second thing: Pay attention to the disruptors on the market out there. Digital cameras, cell-phones with video capabilities, rich-media frameworks for the web such as Flash, increasing broadband access and of course, better PCs.
Taking all that into consideration, you could have a wild guess that your costs will be around an average price of USD 50 per video.
- That’s when you ask yourself: What’s moving the price of all these actors?
The same thing that has been driving technology for the past 40 years: Moore’s Law. Silicon Valley’s not-so-secret formula that prays: Transistors inside processors will double every 18 months and prices will fall.
So right after you have done your math, you will realize those 50 bucks in 2004, will be 25 in 2006, 12 in ‘08 and less than 1 dollar in a decade.
Back to the present.
Moore’s Law is the very same reason I smirk when I hear incendiary claims that Twitter won’t ever find a business model or Facebook is doomed.
Just like YouTube, Twitter’s business is on the side of technology. They have a simple and concise system to capture people’s intentions. And all they need to do is sit and wait for the moment when we can get a fast, scalable and complex algorithm to harness all that sweet gold-mine of precious information.
Today, scalability is the main hurdle for powerful software techniques for filtering and analyzing textual content online. In a single computer you could be amazed on how software is capable of understanding text to the point of detecting irony. But that’s just too computationally difficult when you have to deal with millions of messages per second.
The good news is: that hurdle will be halfing its size every 18 months.
Welcome to the 2010’s race.


Argentine born entrepreneur, passionate about technology and robots in particular. Pioneered the game development scene in Buenos Aires. Currently leading Popego, an innovative software company that's building meaning with code and guts.



