How the Hinge Algorithm Works
key takeaways | the core | optimize | Summary
Key takeaways
The HInge algorithm is different from the Tinder algorithm:
Like ratio: This is simple, as people like your profile, your visibility increases and you move up a tier. Hence the importance of learning visual attraction. The top tier being “Hinge standouts”.
Positive interactions: The Hinge algorithm differs to for example Tinders where you can stack matches. Hinge decreases your visibilty if you do not write to your matches. Writing incredible Hinge openers is essential because how frequently your matches respond influences the algorithm.
Preferences: The Hinge algorithm uses machine learning to figure out your “type”. If you tend to swipe yes on creative people [artists, film workers etc] Hinge will show these type of people to an higher extent. The same goes for you, knowing & highlighting the attractive traits that most women look for is the most impactful way to optimize the algorithm.
Activity: No app wants inactive users. Chatting/swiping 10 minutes a day is way more effective than if you log in once a week and swipe for an hour. Make sure a nice chunk of that time is spent interacting rather than swiping.
Trust is a major issue on dating apps in general, any suspicious signals the algorithm picks up and your visibility can potentially affect your profile, worst case a so called “shadow ban”. [It stops showing your profile entirely]. Connect socials, verify your profile and do your best to create a good experience for others, [by bringing positive vibes].
Location: Whatever is the most sought after in your city, [varies a little from culture to culture] but make sure to highlight those things to properly optimize your visibility.
The Core of Hinge's Algorithm
Hinge’s algorithm is designed to create real connections. It uses a combination of your preferences, behaviour data and profile information to suggest matches, with advanced app algorithms.[1]
The Hinge algorithm also uses machine learning to pair you with the person you’ll have the best first date with. Here’s the breakdown:
User Preferences in Dating Apps
When you set up your Hinge profile you select preferences like age range, gender and location.
These preferences filter the pool of matches so you only see profiles that fit your criteria and are being compared to other users’ preferences.[2]
Behavioral Data in Dating Apps
Hinge tracks Hinge user activity on the app, including which profiles they like, how often they use the app and what type of profiles they engage with the most. This data helps to refine the matches shown to you by identifying patterns in your behaviour.
Profile Information in Dating Apps
Your profile is a key part of the algorithm. Detailed and honest answers to Hinge’s prompts helps the algorithm understand you and your interests so it can match you with people who share similar traits and values.
This can also determine if you see profiles of attractive people according to the app’s standards.
The Gale-Shapley Algorithm
Hinge uses the Gale-Shapley algorithm, a mathematical solution to the stable marriage problem, alongside Hinge’s algorithm which affects user matching and deepens conversations. This algorithm ensures matches are mutual and increases the chance of a connection.[3]
Optimizing Your Profile for Better Matches
To increase matches on Hinge, consider these tips:
Be Specific: Detailed and thoughtful answers to prompts helps the algorithm match you with people who have similar interests and values. Hinge is the only dating app that follows up with users after a match via an in-app survey called ‘we met’ to gather data on the success of their dates.
Use incredible Photos: Your photos are your first impression. Make sure they are clear, high quality and represent you.
Engage Regularly: Using the app and other profiles regularly tells the algorithm you’re an active user and increases your visibility.
Thoughtful Interactions: Meaningful interactions with other profiles, like commenting on prompts not just liking photos, can improve your match quality. But be aware of the subtle yet frustrating shadowban that some users may experience where you can’t find matches or receive messages without being notified or explained.
Summary
How does the Hinge algorithm work?
The Hinge algorithm works by analyzing user preferences, behavior, and profile information to suggest matches. It factors in the quality of interactions, the specificity of prompts, and regular app engagement. Using machine learning, it identifies patterns to optimize match recommendations and employs the Gale-Shapley algorithm to ensure mutual interest.