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I Signed Up for a Creepy New Mobile Dating App... So You Don't Have To!

If you sometimes wonder how much more intrusive location-based mobile apps can get, well, here comes Happn to give you an idea.

Happn is a new mobile dating app that started in Paris, France but is now in the US. It is expected to have more than 10 million users by the end of the year.

"Find the people you've crossed paths with," is the app's tagline, and this is literally what it does. It uses the GPS on your phone to show who you have passed -- and who has passed you -- in the city, on your phone.

A friend told me about it last week. I was interested to see how the location piece works, so I downloaded the app.

The app links to your Facebook profile and scrapes photos and some of your details from that. So you get pictures of the people you pass, interests and friends in common and a paragraph to fill in a few details about yourself. Then you can set whether you are interested in men or women. Beyond that the details you can add are fairly minimal. The real difference between Happn and other mobile dating apps, however, is that it maps where you pass a person, when and how often, to a fairly accurate degree.

For instance, the app tells me that I have passed a user we'll call "Pamela" -- because that's her name -- three times already. She was on 34th Street, two minutes ago, and that she is now less than 250 meters away. Light Reading's glamorous NYC home is in a rat's nest of rented offices on 34th street. Certainly not impossible that Pamela is right here, somewhere in the building.

"Security was one of the pillars of our thinking when we built Happn," CEO and Founder Didier Rappaport told Business Insider in May. "When you are very near someone, we will never say 'You are 10 meters,' we will say 'You are less than 250 meters' -- you don't have any flag on the maps. We don't record the exact journeys of people, we just remember the crossing points."

Get the latest mobile news, analysis and opinion on Light Reading's Mobile content channel.

It doesn't take an evil genius -- or even someone who can do a decent impression of Dr. Evil come Halloween time -- however, to realize that you're getting a lot of information about people's movements with this app. It was pretty easy to figure out when users regularly pass my apartment, for instance, because the app makes it easy to notice patterns in user movements.

Interestingly, not everyone finds all of this that worrying. I talked to about ten people about this app -- men and women -- over the weekend. They were split about 50/50 on whether it was creepy or cool. Some people, both male and female, found the idea of knowing who they were passing on a daily basis intriguing.

Me? I think I'm still solidly in the "it's way creepy" camp! I'm going to wipe the app. But Happn is obviously gaining new users at a fast clip anyway.

— Dan Jones, Mobile Editor, Light Reading

COMMENTS Add Comment
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DanJones 8/31/2015 | 1:20:30 PM
Re: Crime assistant I don't think happn is really analogous to Ashley Madison though.
MikeP688 8/28/2015 | 4:15:52 PM
Re: Crime assistant Discretion is key.   I caught The Last Word on MSNBC, though, whereby Glen Gleenwald reflected upon the predicament of someone who took to Ashley Madison to seek comfort and compassion--But one indication of the extent of the problem was when the CEO resigned.
DanJones 8/28/2015 | 3:09:30 PM
Re: Crime assistant With happn you opt out by turning off the GPS on your phone!
Kruz 8/27/2015 | 6:17:21 PM
Re: Crime assistant It is sad to read what has happened with Ashley madison. If it is really private and is a life changer, dont go online with it, regardless of the content portal you will be using and how safe it is.
Kruz 8/27/2015 | 6:14:17 PM
Re: Crime assistant Mapping it to linkedIn can be an option for networking, and again a solution to all the creepiness is users opting out whenever they like,sharing locations they want to. We have already accepted using location services on google and google now has access to every location i have been in the past 4 years. This is on a remote server that i know is secure, but again is prone to breach. Google knows about my location more than I do, and I have no idea with which 3rd party it is sharing it (Google was just used as a reference, as this is a practice by all location based service). As long as the user has the option to opt in/out and can follow up in case of a breach, then I wouldn't call this creepy, but a risk the user is willing to take.
sowen557 8/27/2015 | 1:10:24 PM
Re: crapware! Creepy.
DanJones 8/27/2015 | 12:57:40 PM
Re: Crime assistant The data scrapped from Facebook wouldn't have helped you much to network, I wouldn't think, it was pretty scant. If they did a LinkedIn location-based app that would be more in the vein of what you're thinking of, I'd expect.
DanJones 8/27/2015 | 12:55:40 PM
Re: Crime assistant It would be pretty hard to locate people's homes I would think, unless you noticed you consistently passed them at a certain residential area at particular times. 34th street is not residential! But you would quickly get a pretty good idea when people were likely to be on your street for example. 

The sheer number of people moving about in NYC pobably makes it less of a stalking worry. Once you get to smaller towns though...
MikeP688 8/27/2015 | 10:17:52 AM
Re: Crime assistant You're a lot more braver than I am @Cruz.   But the breach shows a lot more that all need to be worried about...enjoyed this as I have been tending to my "daily roundup" which I wanted to pass on:

Kruz 8/27/2015 | 9:33:24 AM
Re: Crime assistant I would use the app if it werent for dating, in order to locate peers of people of same interest. Let's say you are attending a huge event: MWC, with 80k somewhat visitors. I would love to be able to locate people of interest that are in a walking distance, or find out where my colleagues are instead of having to call each every hour or so. Of course, the app needs to have access to LBS accurate data location services for indoor detection.

In addition, users should be able to fairly opt out from being detected, should they wish to do so(time based, location based, or simply by disabling the feature manually).

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