It might feel like he’s open sourcing the whole process, until you read his article’s last line. S: I will not open-source the code since it could be used to hurt people, but I might share it if you ask nicely.” Later Stadil even told one reporter, “My friends have suggested I sell it as a product.But I don’t want to arm the competition.” It may be too late, though.
Three years ago, Amy Webb gave a TED talk on “How I Hacked Online Dating.” And her approach was even more brash — she created fake profiles — for — just to gather data “on the women who were going to be attracted to the type of man that I really, really wanted to marry.” Studying the women who were indicated as the site’s most popular, she calculated the optimal length for a profile, the common features of their profile pics, and even generated a word cloud identifying all of the most commonly-used among the site’s most popular women. I was the most popular person online.” And when she released her “super profile…optimized now for this ecosystem…lots and lots of men wanted to date me.” The most interesting part about her approach is that she’d already established 72 separate criteria for the men wanted to date.
In the comments to his article, one woman posted that she’d already the first of Stadil ‘s perfectly-optimized sequence of seven text messages — exactly, word for word…
But at least his experiment’s popularity let’s Stadil cling to a glimmer of hope. “Perhaps I’ll find my special someone through this post?
;)” The Washington Post later calculated that Stadil’s Python script approached 6 percent of the women in the entire San Francisco Bay Area. “My first problem was solved: getting leads into the pipeline.” “I had a new problem now: volume.” So the next step he called “dating at scale.” Yes, he really was determined to them all.
He was truly serious about matching the perfect mate, and with such a rich data set dare he risk bungling his project’s completion by a substandard execution?