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“I’d love it if our data could contribute to society.” He’s not kidding about the volume of data.says it has 120 million registered users, and new users join the dating platform at a rate of 40,000 to 50,000 a day.

First came Me Me Star, a short message-based chat forum that he sold to the Chinese telecom firm Sina.

Following a one-year “lock-up period” imposed by Sina he set up a music sharing company that eventually pivoted to become

“You can almost very accurately calculate for every 1,000 yuan salary increase how many more winks he will receive,” he says.

For women, salary doesn’t affect how many winks they receive – until they earn 50,000 yuan or more, when they see the number of winks tail off slightly.

The charming, slightly geeky former investment banker might not seem like an obvious candidate to be a font of knowledge about the dating world, but he is an avid reader of psychology books and, as he says, “the stats never lie”.

offers two broad services: one is what Li calls a “self-service dating service” where members pay 400 yuan (US) a year to browse members’ profiles, chat and arrange dates; the other is a more exclusive offline, face-to-face matchmaking service that costs 4,000 yuan for six months.In short, if we take you on as a client, we guarantee you will go out on dates!When it comes to dating, Chinese men are most interested in what women look like, while women want to know about a man’s income.The Face-to-Face experience: As an It’s Just Lunch Houston client, we guarantee you will go out on dates. What happens: Once staff members find a good match, they'll tell you about your date, coordinate your schedules, and select a nice spot for lunch or drinks. A dating service is trying to revolutionize the blind date. Because that’s the only way to tell if there’s chemistry. Our IJL certified matchmakers create a dating experience personalized just for you. Date, time, where you go." "It plans everything, down to when and where you meet.Born in a suburb of Shanghai, Li trained as a molecular biologist at Cornell University in the US and, after realising he wasn’t suited to fiddling with Petri dishes in a lab, switched to Columbia University, where he earned a Ph D in finance.

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