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You're looking for other sites like Predictify:
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Prediction platform where users can build a reputation based on accuracy and marketers can pose questions to collect crowd data.
http://www.predictify.com/
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web2.0
prediction
predictions
future
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Kickstarter is a funding platform for artists, designers, filmmakers, musicians, ... Learn more about Kickstarter, how it works, and what's in it for you. ...
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funding
business
startup
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ideas
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art
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50,000 MyFootballClub members are about to bid for an English football club. They will make history together, voting on team selection and on which players to buy and sell.
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football
community
soccer
web2.0
collaboration
sport
social
sports
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Collaboration software by Jive Software is highly configurable and extensible community software and social networking software designed for open collaboration.
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collaboration
software
web2.0
socialnetworking
community
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... 13(1), article 11. http://jcmc.indiana.edu/vol13/issue1/boyd.ellison.html ... Retrieved July 30, 2007 from http://jcmc.indiana.edu/vol12/issue4/ellison.html ...
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socialnetworking
research
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socialnetworks
social
internet
culture
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history
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This site has ruined my life...
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community
best
fun
reference
web
social
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cool
design
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Auf Qype finden Sie Empfehlungen von Menschen, die schon in Berlin waren. Bewertungen zu Bar, Cafe, Restaurant, Shop, Handwerke, Ausflug, Club und mehr.
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web2.0
social
community
search
qype
portal
german
restaurant
travel
web
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A hosted prediction market platform that improves forecasting, predicts key metrics, identifies value of new ideas, and helps forge new collaboration channels.
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prediction
markets
web2.0
predictionmarkets
business
market
collaboration
ideas
trading
economics
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Create and discover groups. Connect and collaborate with people who share your passion. ... do not hesitate to contact our Dania at dania.gerhardt@amazee.com. ...
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collaboration
web2.0
social
community
project
socialnetworking
projects
tools
startup
crowdsourcing
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Collect ideas from your customers, give them a platform to vote, the most ... Let them engage you when they're most inspired - giving you the best quality ...
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crowdsourcing
collaboration
ideas
web2.0
community
feedback
tools
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Official site for Diigo, a social bookmarking tool that allows you to highlight and annotation websites.
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web2.0
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tagging
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Sorting Results
- This slider determines how the matched sites are sorted.
- If you want to see the most popular sites that are somewhat related to your search, slide this more towards "popularity."
- If you want to see the sites that best matched your search, regardless of popularity, slide this towards "similarity."
Must Include Tags
- Matched sites will not be shown unless they have all of the tags on this list.
- This feature is useful for when you require a site to have been tagged as something.
- To add a tag to this list, click "add tag" or click on any tag in a result.
Must Not Include Tags
- Matched sites that have any tag on this list will not be shown.
- This feature is useful for filtering out results that have tags you are absolutely not interested in.
- To add a tag to this list, click "add tag" or click on any tag in a result.
Types of Results
- This option lets you specify the types of sites to show.
- If you want to only see domains (www.
.com), select "domains only." - If you want to only see articles (www.
.com/something/here), select "articles only." - If you don't care, or care so much about both, select "Both".
About The Results
an example search result
How moreofit Searches
Each website has a unique tag signature -- a set of words
that users have described the website as. Moreofit searches
for websites that have similar tag signatures and displays the results.
1: Similarity
A site's "similarity" is determined by how well its tag signature matches the tag
signature that is being searched for. A 100% match means that it has the exact same
tags in the exact same order, while a 0% match means it has no tags in common.
2: Popularity
The popularity of a website is, well, pretty much self explanatory.
3: Tag Signature
The tag signatures show how a site is described. The deeper the color of the tag,
the more frequently the website is tagged as this. Tags underlined blue denote a tag
that is in common with the search's tag signature.
