Automated Tinder and the Eigenface

Posted to Statistics  |  Tags: , ,  |  Nathan Yau

Because using Tinder takes up oh so much time swiping, swiping, and swiping, Justin Long made a bot that swipes and starts conversations for him. Step 1: Use his existing preferences to create two Eigenfaces, commonly used in face recognition, that represent a yes and a no. Step 2: Automate everything else with the Tinder API.

What are the results so far? The bot is amazingly effective. I would estimate an accuracy of up to 70% in its selections – though there may be a hindsight bias. Using a brand new account, I did a quick test to see how quickly the bot could get results. In 48 hours, the bot registered 21 matches (starting all of those conversations), made 4 extended conversations, and the bot itself made over 300 moves. A “move” is any step the bot makes in either sending a message or making a swipe. And in that time I barely needed to touch the app. I also created a dashboard to give me an overview of my metrics.

Kids these days.

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