Yesterday our friend and former MyFamily.com colleague, Brian Hansen, along with Manish Chandra and team announced a new idea in social shopping called Kaboodle.
The announcement was remarkable for at least two reasons. First, Kaboodle generated tremendous buzz throughout the blogosphere literally overnight - without spending a penny. Steve Rubel would be proud.
Second, even in it’s early beta stage, Kaboodle exemplifies one of a new crop of web applications that are designed for collaboration at the start and not merely social for social’s sake.
Describing the beta release of Kaboodle to someone can be a mouthful: It’s kinda like a social shopping bookmark site. It allows you to gather elements from different web pages and invite others comment or to help you decide on them.
It has elements of wikis (let others add pages), blogs (let people comment on your posts) and shopping sites (ratings).
But thinking of Kaboodle as just a way to shop might be missing the bigger idea: It’s, potentially, a living “decision engine” that helps you make sense of the overwhelming number of choices you are faced with each day.
Or tweak this for a specific effort like journalism. You could use it to collaboratively select elements of a breaking story, photo-edit or find experts in the community working on similar subjects.
More powerfully, we could imagine it extracting the patterns of decision-making. This could lead to something similar to an expert system. The more things you choose and rate, the more the system would begin gathering new or existing content on the web that match your particular interest. Sort of a super-Google alert.