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Long gone are the days when online dating was the purview of the desperate and promiscuous.
Today everyone knows someone who met their spouse online.
Verdict: Paktor is still struggling to attract the number of users Tinder has; however, it might be a more rewarding prospect given some time.
One of our anonymous serial daters didn't find Paktor the right choice when looking for romance: "There are a lot of people who go on it to find friends, not f*** buddies or anything," she says.
Its San Francisco-based co-founder Dawoon Kang, who lived and dated in Hong Kong until a few years ago before returning to the US, said: “Hong Kong was the first market we targeted outside the US, with close to two million singles; that was a huge draw for us.” Inside the murky world of Hong Kong’s compensated dating scene It found that Hong Kong millennials were among the most avid users – a testament both to the high density of singles in the city and the lack of time they have to find love.
Kang attributed the app’s popularity to hook-up culture fatigue in a city where young, career-driven professionals struggle to find time to date.
That said, people we spoke to tend to really enjoy the experience of Coffee Meets Bagel, especially those who find Tinder too forward.
Still, as with all tech trends, the mechanisms of online romance are constantly changing: meeting a lover on OKCupid seems as outdated today as making a friend on My Space. With some help from our serial-dating friends, we check out the latest generation of dating apps and see what all the fuss is about.
Grouvly is the Hong Kong-based version of a dating app model that, with apps like Grouply, has proved extremely popular in the West.
People working for the app choose the location for your date, which is great if you don't like making decisions but not so good if you like to control these things.
They also require you to prepay for the first round of drinks, the idea being that it helps ensure everybody shows up.
One crucial clue to future compatibility is the kind of music you listen to, and Tastebuds takes this concept and runs with it, letting users set up profiles based on their taste in music and then find people with similar preferences.