Out of morbid curiosity. I sent my photo into the site's webform to see if I had any exhibitionist clones out there. The summary: nope. No-one looked anything like me, and I'm not being subjective -- or at least don't think I am.

This is me:

Wholesome, fully clothed, not-smiling Brit that I am. Disregarding the lookalikes that had their junk out, here are my apparent doppelbangers:

The percentage match here was 46, 42 and 40 percent respectively, with other 40-percenters looking even less like me. And let me repeat: these people do not look like me either. The biggest similarity here is that I'm showing a bit of arm (risque!) as seen in Doppelgangers #2 ("fat gamer Mat," according to a colleague) and #3.

The site isn't revealing exactly which face algorithm tech it's using, although TechCrunch points to Microsoft's Face API recognition software as a possible culprit. There's no shortage of options: it could even be using open source tools like openCV, used in everything from cars, to smile-spotting apps, to virtual pottery wheels.

Natasha Lomas at TechCrunch had a similar experience with her matched webcam artists, noting most of her webcam "twins" that scored under 40 percent looked nothing like her. Results are more disheartening than Microsoft's age-guessing bot getting it wrong. I think I'll tape up my webcam. Forever.