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Dating App Photo Raters

Clean the Sky - Positive Eco Trends & Breakthroughs

The Fire for Tinder App Lets You Know Which Photos Get the Most Matches

— July 21, 2017 — Lifestyle
Thanks to the Fire for Tinder app those looking for love will now have a slight edge over the competition. Tinder recently launched an update that makes the app more photo-focused. Essentially now people will be swiping right or left on the basis of a photo and its quality, not what bios say or interests are shared. That's where the Fire for Tinder app comes into play.

The app uses Tinder's API to tell you which of your photos is performing the best. Each photo is given a percentage score letting you know how many users swiped right or left on it. This information can be used to optimize your photos and increase your chances at making more matches. The Fire for Tinder app is out now for iOS with no word on an Android launch as of yet.
Trend Themes
1. Photo-focused Dating - Utilizing photo-focused platforms in dating apps can provide users with an edge by optimizing their photos and increasing their chances of making more matches.
2. Data-driven Matching - Using data analytics to determine the success of different photos can improve matching algorithms and enhance users' overall experience on dating apps.
3. API Integration - Integrating with popular dating app APIs opens up opportunities for developers to create innovative tools and features that enhance the user experience.
Industry Implications
1. Online Dating - The online dating industry can benefit from incorporating photo-focused features and data-driven matching algorithms to improve user satisfaction and increase engagement.
2. Mobile App Development - Developers specializing in mobile app development can explore opportunities to create tools and apps that integrate with popular dating apps, providing users with valuable insights and optimizations.
3. Data Analytics - Data analytics professionals can contribute to the dating industry by providing insights and analytics for optimizing photo performance and improving matching algorithms.
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