• September 5, 2012

Social Recommendations Web Site Helps Users Find Service Providers

Recmnd yesterday launched its second recommendations Web site, Recmnd.Us, a free, crowdsourced search engine that users can edit, so anyone can find the best business tools, apps, or companies for whatever they need (i.e. project management, social monitoring, email marketing, A/B or user testing).

Recmnd.Us leverages the same recommendation platform powering Recmnd.Me, which helps employers and recruiters find "A" players among working professionals and college students.

"With the launch of our second Web site, Recmnd.Us, we now offer another powerful social tool, this time for users to find and recommend their favorite businesses," said Jesse Gant, co-founder and CEO of Recmnd, in a statement. "Recmnd.Us is more useful than a typical search engine. Search engines often focus their results on the highest bidder or SEO techniques used by savvy engineers and marketers. Instead, Recmnd.Us will rank companies based on the quality of their service, as determined by user recommendations.

"It's like Digg meets Yelp, but for service providers, not restaurants. To add to the experience, we allow users to post videos, screenshots, presentations and reviews. We want to save people time by being the first step in the decision-making process for service providers - just as consumers visit Amazon to read their product reviews before making a purchase."

"Yelp is more for restaurants, and Angie's List is best known for service professionals like plumbers," said Navid Nobakht, co-founder and chief technology officer at Recmnd, in the statement. "Google gets used as a research tool, but when you search Google for "user testing" for example - you get the definition of user testing, blog articles on good user testing techniques and finally, sprinkled among the results, a list of some service providers based on how well they SEO or how much they pay, not necessarily on how good their service is or how often people recommend them.

"Recmnd.Us cuts to the chase to give users all the data points they need to make a quick, informed decision based on the number one way people get introduced to new brands, namely recommendations." 

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