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All instructions and feature list will be available after installation in file folder under the name notes.txt.
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tinder hackerSmart Photos was the brainchild of Tinder machine learning lead Mike Hall, who proposed the tool at a company hackathon and assembled a team to build a prototype. Tinder’s in-house research team, including a resident sociologist named Jess Carbino, had already drawn up some general rules for the types of photos that don’t work that well—pics where part of your face is covered or you’re not smiling or you’re wearing a hat—but that didn’t account for the subtleties of personal taste. With machine learning, Tinder can reduce the chance that your labradoodle photo turns up on the phone of someone with dog allergies. And with one-armed bandit testing, it can show most people the profile photo that most people find appealing.**Deep neural networks can recognize images in photos, and Tinder says it is also using a machine learning system that recognizes patterns in user behavior, both for individuals and groups of like-minded people. “Given the scale of Tinder’s user base and the high level of engagement from Tinder users,” the company says, “we can start optimizing and personalizing their Tinder experience quickly.” It says that people swipe about 1.4 billion times a day.Tinder is the new cool kid in town that everyone is talking about. I heard about the dating app from a friend of mine a few months ago. The concept behind Tinder is pretty simple. It shows you people nearby and lets you anonymously like or pass on them. If someone you like happens to like you back, Tinder makes an introduction and lets you chat with them. What makes Tinder addictive is the instant gratification people get from swiping and judging prospects.**I played around with Tinder one lazy Sunday afternoon and recalled my friend telling me how he would spend hours swiping right on Tinder just to accumulate as many matches as possible. This had me thinking, why can’t I reverse engineer Tinder and automate the swipes? After all, I’m pretty darn good at taking things apart!**Tinder like most internet connected mobile apps, uses an HTTP based API under the hood. To reverse engineer the network traffic, we need to capture it and understand it. My tool of preference for capturing HTTP traffic is Fiddler. One of Fiddler’s cooler features is its ability to decrypt secure traffic over HTTPS. It does this using a “man-in-the-middle” approach to intercept the secure packets. To the client (the mobile app) Fiddler impersonates the API web server. And, to the API web server, Fiddler impersonates the client (the mobile app).“Like” a lot of pages on Facebook.**Tinder shows which Facebook pages you and your potential matches both like. So take online dating expert James Hawver’s advice and spend a little time on Facebook liking the pages of all the TV shows, movies, music, authors, books, companies, etc., that you’re a fan of.**This increases the odds of having things in common with your matches, and mutual interests can cause more women to swipe right on your profile.**But don’t start blindly liking pages en masse; it’s more useful if your likes are actually things you enjoy because chances are those topics will come up in her messages.**Use your photos to generate more right swipes.**Women don’t spend a lot of time deliberating over the direction they’ll swipe.**In fact, it’s literally a split second decision – women take about 1/10th of a second to form an opinion of you based on your photograph.**Including certain elements in your photos can shift the odds of a right swipe in your favor. Molly Fedick, founder of women’s interest blog The Eighty8, suggests holding a cute puppy if you want to experience a surge in matches. Shirtless mirror selfies, on the other hand, might lead to more left swipes.

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>> How to install?
– Download, extract and run .exe file
– Press Install button
– Check for updates
– Finish

>> How to Use:
Open destination folder and locate file install.txt, open follow instructions.
Enjoy!

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