Sell Your Digital Wares Through Edgeio Paid Content

Classified listing service Edgeio now lets you sell content through your listings. The new type of listing called “Paid content” consists of the same listing Edgeio already hosts, but comes with an embedded digital locker. Through the locker, users can securely sell text, file downloads, and streaming media through a widget hosted by Edgeio.

It seems a good fit for selling podcasts or research reports. Affiliates can also grab the widget code to sell your product on their own sites as well for a revenue share determined by the content owner. Michael Arrington, the editor of this blog, is a founder and investor in the company.

Digital lockers are nothing new. E-Junkie, Payloadz, Tradebit, and Bitpass (shutdown) have done it for a while. However, Edgeio has the added advantage of leveraging the paid listings through their existing listings network and providing a very straightforward product.

It’s pretty simple to get started. You sign up to create a listing like any other through the “Paid Content” link. Next, select your content type, price (currency), affiliate percentage, and coupon code. Finally, Edgeio lets you make a teaser “preview” for the content to give buyers an idea about what they’re purchasing. Once completed, you get some embed code and the listing is placed in Edgeio’s index, linked to the page where the widget is embedded.

An example of one of the widget embeds is included below. The other version of the widget initially shows visitors a teaser, until the content is purchased and unlocked. Use the coupon code “vgforfree” to unlock the content. To purchase the content, you need to sign into your Edgeio account and to pay by credit card or PayPal. The content is then unlocked for your Edgeio account.

Edgeio splits revenue from sales through the widget 80/20 in favor of the content creator. The creator can then split that 80% for sales through affiliates at any percentage they like.

Update (Arrington): This is a company that I co-founded in early 2005 with Keith Teare, months before I started TechCrunch. There is a clear conflict of interest, although I did not write, edit or give input on this post. For a balance of viewpoints, see Techmeme.

Spock Open Public Beta

People search engine Spock, which we’ve been covering for a few months, has publicly launched.

Spock differs from differs from recently launched WikiYou and other people search engines by using algorithms to find and merge the majority of their content into a unified profile. User generated content such (tags, links, photos) then augment the auto-generated content they spider from other sources such as wikipedia, IMDB, or social networking sites.

Note that competitor Wink seems to be moving toward a more automated model as well. They recently crossed 200 million people profiles and have been incorporating some of the same data sources as Spock.

A key Spock feature is a widget that shows results for a given tag (see embed below). Making the service public makes the widget a lot more useful. You can use it to make any number of lists around a how Spock ranks search terms. See, for example, the results for blogger and tech blogger.

Spock is certainly fun, and encourages user interaction by adding and voting on descriptive tags. It could easily become a definitive source of information about people. It will, however, likely take a massive number of page views to properly monetize the product - people searches do not generate the kind of advertising rates that ecommerce and other searches command.