October 11, 2010

62) diaspora* and Kickstarter

危 wēi  danger

Four students at New York University’s Courant Institute of Mathematical Sciences listened to a lecture on cloud computing and privacy and began to worry about relinquishing ownership of their data to Facebook and other social networks.  They believed that they should retain all of their personal data, after all once you give up control initially you effectively lose the option to regain control over it permanently.   The students believed that they could build a distributed social networking service to overcome this which they called diaspora*. Users would set up their own server (or “seed”) to host content; seeds would then interact to share status updates, photographs and other social data.  The team wanted to test whether anyone else shared its concerns and to raise $10k seed capital to build the product.  Surely the inexperienced team would struggle to get the idea off the ground without giving up huge amounts of equity?  And how would they test demand more broadly than just in their close social groups?

机 jī opportunity

Instead of testing the idea with potential users in face to face discussions and tapping into angel funding the team decided to place a request for funding on Kickstarter, a platform that enables crowd-funding of creative projects.  The team set their goal at $10k, recorded a video outlining why the project was important to them and explained what donors would receive in exchange for any backing.  For example, those that pledged $25 or more would receive “a CD, note, a bunch of cool diaspora stickers, and an awesome diaspora t-shirt!”.  As with all Kickstarter projects no equity was offered in exchange for funding (conveniently reducing the need for financial regulation of the Kickstarter platform) and the project had to be fully funded before its time expired or no money changes hands. diaspora* was fully funded within 12 days and within a few weeks the team had received pledges of over $200,000 from over 6500 backers.

Here’s the Kickstarter widget for the Diaspora project:

The team had proven that their product had appeal and had raised 20 times the capital they had aimed for without giving up a single percent of equity. diaspora* is now in build: a developer preview was released on the 15 September 2010 and a consumer alpha is planned for October 2010.

This approach is developing into a business model itself – just look at American Idol or X-Factor (read more in my article here).

How About…

  • Crowd-funding new ideas – testing demand and perhaps eliminating the need to give up equity?

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August 2, 2010

Why I think OpenIDEO is important

This is a break from my usual blog post format but today is a special day: we’re launching OpenIDEO – a platform designed to bring people together to solve problems for social good. Here’s a quick intro video (those of you that know me may recognise the voice):

I’ve been thinking about and developing this opportunity for a few years and thought I’d jot down a quick personal perspective on why I think it’s important.

Collaboration works. Cities have always been hotbeds of innovation.  Why?  Because high population densities bring together minds and enable collaboration.  Solitary inventors deliver, but the world is getting too complex for individuals to make breakthroughs at the societal level as frequently.

vs  

Take helicopter design: although Leonardo Da Vinci had a good go at designing a whole ‘helicopter’ in the 1480s no individual on the planet would be able to design and build a groundbreaking one today from scratch.  I don’t imagine there’s even an individual that could design and build all of the electronic systems. Today, most breakthroughs require collaboration.

Collaboration works between similar individuals: 1+1 = 2.5. But we have learnt through our work that collaboration works even better between diverse individuals (whether the differences stem from culture, experience, knowledge, approach or all of the above): 1+1 = 3. Diversity of perspectives drives better results.

And it doesn’t need to be ‘physical’ anymore. In the past collaboration has generally required physical meetings, it’s still arguably the most effective approach.  But technology is providing new means to meet and collaborate virtually, for example social networks (including Twitter, Facebook and LinkedIn) provide us all with new tools for collaboration.  Harnessing technology will be essential for impactful collaborations in the future, particularly since we know that diversity is important.

When companies choose to prevent employees from using social networks (usually to keep them focused) I wonder if they’ve thought through downsides – not least that they may be preventing their employees from developing these new collaboration muscles.

And we care. Although voter numbers are dwindling, consumer and citizen engagement around brands and local politics is increasing – partly because these are the areas where we believe we can have impact. This is likely to increase – particularly after a period where we have all been forced to reassess our values (the economic meltdown) and because technology is offering us all greater power to affect that change.

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So, with these big trends in mind, we built a technology platform to enable diverse people to collaborate in solving problems for social good.  We hope that it makes a difference.

July 1, 2010

57) Google Image Labeler

危 wēi  danger

Google owes much of its success to its phenomenal search algorithm, invented by Larry Page and Sergey Brin while they were attending Stanford University as Ph.D. candidates.

Broadly, Google search works in three distinct parts:

  • Googlebot, a web crawler finds and fetches web pages.
  • An indexer sorts every word on every page and stores the resulting index of words in a huge database.
  • The query processor compares your search query to the index and uses the algorithm to recommend documents that it considers most relevant.

Google harnesses a distributed network of thousands of computers to parallel process this information.   This approach has proven incredibly effective, with perhaps one major exception: image search.  Image search is less reliable because the indexer mines pages for words and therefore only labels images based on their context (and most images on the web are untagged).  Many companies have tried to build software to interpret images but it’s tough to do  – that’s why identifying unclear letters remains one of the last ways of evidencing that we are in fact human, not machine.

Proof you’re [sort of] smarter than machine:

Although there is clear value in being able to search for images accurately, even Google couldn’t afford to have people complete the labour-intensive task of tagging images one by one.

机 jī opportunity

Google asked a different question  - how can we have consumers do this for free?  Answer: make it a game.  Google licensed ESP gaming technology, originally conceived by Luis von Ahn of Carnegie Mellon University and launched Google Image Labeler in 2006 as a beta.

In the game users are paired with another and they compete in tagging images.  The game is great fun: some users reportedly play over 40 hours a week.  The game has enabled the company to ensure that its keywords are matched to correct images, building an accurate database for Google Image Search.

Gaming has great potential for good, other recent examples include Matchin (helping build a database of the web’s most attractive pictures) and Solarstormwatch (helping astronomers spot explosions on the Sun to give astronauts an early warning if dangerous solar radiation is headed their way)

How About…

  • Developing a game to harness consumer power economically?
  • Applying gaming ideas & principles to your existing offer?

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Here’s a screenshot from the game:

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