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Kiwi website reveals where singles mingle
Kiwi website reveals where singles mingle
Bars, supermarkets or libraries? A new Kiwi website launched today - www.findfish.at - will finally reveal where singles are mingling around the world.
The website, developed by business partners James Chang and Ben Liebert, uses people’s relationship statuses on Facebook as well as their location, to map where singles are in real time – whether it be at pubs, supermarkets or libraries – anywhere in the world.
Company spokesperson James Chang says a lot of singles complain that they don’t know where the other singles are.
“Many singles don’t want to go speed dating or do internet profiles – they want to meet someone they like face-to-face – they just want to know where to go. Our website will help solve this problem.”
Singles can go to www.findfish.at – consenting for their location and relationship status to be used from Facebook. Then, whenever they “check in” using Facebook Places, a dot showing their location will then appear on a map, which other single users can access.
James says that while the website can tell you if you’re in the right place to potentially meet other singles – actually meeting someone will be up to users, emphasising that this is not an internet dating site.
“We’ve called the website “find fish” because we’re giving away the best spots to ‘fish’ for singles - but the rest is up to you!”
While the website maps a user’s location, it does not reveal who the individuals are or any identifying information about individuals.
“We are only using people’s gender, relationship status and location data from Facebook – nothing else - privacy is our number one priority.”
James expects the mobile website to gain traction both in New Zealand and overseas. “More than 40% of people in San Francisco, Detroit and New York are single. Our mobile website will be a perfect tool for a night out in these places.”
The company is already looking at ways to further develop the site. “In the future, we may expand to include other functions like age filters, depending on the needs of our users.”
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