GTOKiller's answer:

GTOkiller is an exploitative solver, not a GTO solver. GTO solvers compute strategies against a theoretically perfect opponent that doesn't exist in real games. GTOkiller computes the strategy that maximizes EV against the way your player pool actually plays, measured with Mass Data Analysis across millions of real hands. The exploitative layer is applied to the entire game tree simultaneously, and every deviation is auditable: you see the GTO baseline, the real population frequencies, and the exploit side by side.

GTOKiller's answer:

GTOkiller was built by a small team of poker players and engineers in Spain who kept running into the same wall: hours of solver study that real opponents simply didn't respect. If the pool doesn't play GTO, a strictly better strategy must exist. They built the engine to compute it: mass data analysis over millions of real hands, turned into full-tree exploitative strategies with every number visible.

GTOKiller's answer:

Compared to GTO solvers (GTO Wizard, PioSOLVER, GTO+): they teach you to play against an opponent that doesn't exist. Their exploitative features rely on manual nodelocking, which is theoretical, biased by your own assumptions, and limited to one node at a time. GTOkiller applies real population data to the full tree automatically, at roughly half the price of GTO Wizard's top tier.

GTOKiller's answer:

Online cash game regulars at low and mid stakes (NL10 to NL200) who already study with solvers but feel their study doesn't translate into winrate, because their pools don't play anything close to GTO. Also MDA-oriented players who run population analysis by hand and want it automated and turned into complete strategies.

GTOKiller's answer:

A proprietary solving engine and a Mass Data Analysis pipeline processing millions of hands per pool, served through a web app built on Next.js and Google Cloud.

GTOKiller's answer:

Individual online cash game professionals and regulars across Europe, North America and Latin America