Flairt was built by a group of people, some in their twenties, some pushing forty, who had collectively spent years trying to crack the code on dating. Not just online dating, but the whole thing: reading the right books, going out, experimenting, failing, and occasionally succeeding for reasons that weren't entirely clear.
We started where most guys start. We went through David DeAngelo's "Double Your Dating" and "Attraction Isn't A Choice". We read Neil Strauss's "The Game". We studied Mark Manson's "Models" and dug into Vin DiCarlo's "Pandora's Box". Good material. Some of it genuinely useful. But ultimately, surface insights. Frameworks built on observation and anecdote, not on understanding the deeper machinery.
So we went further. Richard Dawkins' "The Selfish Gene" reframed how we thought about attraction at its most fundamental level. Not as social performance, but as biology doing what biology does. Matt Ridley's "The Red Queen" deepened that picture: the evolutionary arms race behind mate choice, status signalling, and why certain things reliably work across cultures and centuries. And Dale Carnegie's "How to Win Friends and Influence People", stripped of its self-help gloss, turned out to be a quietly ruthless manual on human psychology that applies just as much to dating as to business.
Then we turned to the research on modern dating specifically, behavioral datasets from Tinder and Hinge, studies on photo perception, facial attractiveness, first-impression formation, and what actually drives swipe decisions at scale. The picture that emerged was consistent, specific, and largely ignored by the advice industry.
So we built something around that. Not a generic tips engine. Not a template factory. But what is probably the most extensive and comprehensive dating buddy available today: one that adapts to your face, your personality, your goals, and the specific platforms you use. Something that gives you a real, personalised strategy instead of recycled bromides.
Flairt is what happens when you stop asking "what worked for someone else" and start asking "what does the evidence say works for me?"
