Who said a robot knew nothing in love? On the occasion of the Vivatech 2025 Fair, Justin McLeod, founder and owner of Hinge, trusted Tech & Co regarding the use of AI in appointment applications. For several months, the company has been trying to strengthen the use of smart tools in the hinge.
This dynamic is logical since meeting applications are largely based on their correspondence algorithm. But Hinge’s AI goes further by providing advice to its users to flirt online.
An algorithm that perfected
Like Tinder or Bumble, Hinge is a meeting request that meets some success, especially among those under 25 years. The young Europeans greatly appreciate for “their most authentic and less artificial approach” of the online romantic encounter.
Leaving aside the amount for the benefit of quality, the application now put AI to offer people much more compatible with their users and, therefore, avoid a catalog effect. To do this, the AI is based on the data of its users by observing which relationships are conclusive or not.
“At the moment, we only have your profile picture, some lines in you, some statistics such as where you live or how many are you. But we don’t have that you, with your own words, talk about what is important for you, what your personality are, what your values are, which is essential in a couple for you. This is the type of information we can start using to make more reflective and specific coincidences.”
A personal coach
The uses of AI inside the application do not stop here. Since the beginning of 2025, Hinge has offered its users for free an AI coach, baptized “immediate comments”, which has returned to the text presentation texts. Another AI may advise the user in a discussion by sending, for example, a signal to say that it is time to offer an appointment. Ai to advise photos “should arrive soon,” says Justin McLoed.
The idea that these intelligent agents exist, however, poses many questions. Esther Perel remembered him along with Baship’s owner during a conference given to Vivatech: in the dredge, “leave the interactions in the policy of discussions” and leaves little space for the unexpected and how to handle them. Justin McLeod sees a much more optimistic perspective in AI in meetings applications.
“Little by little we go to an experience that will seem less to a social network in which we know many people to find a twin soul, but that will look more like a job with a personal contribution with which we will spend more time, to describe who we are and what we are looking for. It will make sure you find corresponding, very specific and reflective people, and we will guide in the suite.
Source: BFM TV
