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  2. Do Dating Apps Even Work Anymore? - AOL

    www.aol.com/lifestyle/everyone-sick-dating-apps...

    Dating app fatigue seems to be the year's hottest dating trend, but it won't help you find love. Here's what's behind the burnout—and what you can do about it.

  3. In Just 10 Short Years (or More), You, Too, Can Find the Love ...

    www.aol.com/just-10-short-years-more-171500299.html

    I’m proof dating apps really work! After joining Tinder, Bumble, Hinge, OkCupid, The League, and other very real apps that I didn’t just make up, including Desperado, ...

  4. Dating apps helped me find love. Now they've turned into a ...

    www.aol.com/dating-apps-helped-love-now...

    Afew weeks after a recent breakup, I hesitantly opened up the App Store and started the renewal ritual of modern dating: reinstalling the apps. This was once exciting, the start of an adventure.

  5. The Singles Have Spoken: Dating Apps Are Out. Here’s ... - AOL

    www.aol.com/singles-spoken-dating-apps-old...

    Dating apps now carry the same undertone as ordering a mediocre poke bowl for dinner. Sure, it does the trick if you’re tired and too lazy to cook (or spend money on actual sushi, for that matter).

  6. Mobile dating - Wikipedia

    en.wikipedia.org/wiki/Mobile_dating

    In 2013 there was "exponential growth" of dating websites creating apps and dating apps being used through a mobile device. [13] Tinder has been up to par competing in this market "as of October 2014, the app has more than fifty million users" and also it is valued "anywhere from $750 million to $1 billion".

  7. Happn - Wikipedia

    en.wikipedia.org/wiki/Happn

    happn was founded by Girija Sankar Das, Fabien Cohen and Antony Cohen in 2018. [2] and developed by FTW & Co.In July 2014, the app had 40,000 daily users. [3] In January 2016, happn had 10 million users.

  8. How running clubs replaced dating apps - AOL

    www.aol.com/running-clubs-replaced-dating-apps...

    This is exacerbated by the way dating apps work: they are looks-centric. Sure, there are prompts and bits of information on people’s profiles but the most prominent feature is almost always a ...

  9. Hily - Wikipedia

    en.wikipedia.org/wiki/Hily

    Hily employs statistical algorithms to analyze data such as depth of dialogue, word choice, and mutual likes to identify profiles with a high probability for a match. [4] [6] Its "risk score" evaluates user profiles, using criteria such as verification status, user complaints, and other activity metrics instead of an "attractiveness score."