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It’s almost like it took the words right out of your mouth, because that’s essentially what it does.

Launched in 2013, @tofu_product scans your recent tweets, then responds to you with a mish-mash of your own words a few seconds after you send it a message.

There have been people who have talked to him at great lengths, though, sometimes for hours and hours, spanning hundreds of tweets.

Those events are pretty rare, though, and frankly they make me worry about the general mental condition of the human participant.”So what about the condition of the users who are besotted by Invisible Girlfriend and Invisible Boyfriend? The apps are run by Matt Homann and Kyle Tabor, who cooked up the idea during a hackathon in 2013.

If he already knows the person, he jumps right into the generation function.

After the generation function runs its course, the result is run through a sanity check of a kind and then posted to Twitter as a reply.”Basically, the results are as if your own tweets have been chopped up into poetry magnets and then reassembled by Crispin Glover.

Using the API from a service called Twilio, the team programmed a script that serves up one of about 400 responses from their database, many of which are driven by keywords within the sender’s SMS message.“We have no grand plans for this thing,” Baker says. And we had a bunch of funny ideas like would you have to slur to get in.

“We launched it about a month ago, and it was an idea that was tossed around for the longest time. At one point, we had built a Captcha that you had to get wrong in order to get in.The service began as a chatbot simulation wherein you would text a "boyfriend" or "girlfriend," but now, actual human beings are doing the talking.Tabor says more than 70,000 fake girlfriends and fake boyfriends have been created since the service launched in January, proving there is an economy of loneliness.And the responses are fast—sometimes too fast for Twitter’s rate limits.When that happens, @tofu_product gets temporarily banned from posting tweets, also known as “getting thrown in Twitter jail.” (He's a little quieter now, so he managers to stay out of "jail.")Toscano says he’s been approached by companies to develop @tofu_product into an algorithm that analyzes the sentiments in peoples’ Twitter feeds, but he’d rather it remain just a fun side project.Too many people were flocking to it and our bill was starting to skyrocket," says Baker. We’ve had a great deal of people using it, but I haven’t looked at the analytics of how many people have texted in various responses—like how many people are engaged in the rabbit hole of talking to this bot.

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