Train double-board PLO5 bomb pots against a neural network.
A self-play model with over 800 million hands — more
than eight billion decisions — of training behind it, wrapped in a GTO-style
trainer: drill random spots against the network, get every decision graded,
and review the EV of every line you didn't take. More formats are on the way
— with bundle subscriptions for the games you actually play.
5 free trainer hands every day
· $50$10/month for early users — 80% off, locked in for life
Why a neural network
Classical solvers can't touch this format. A network can.
Any stack depth
Real games don't come in preset configurations. The model trains across
two- to six-handed pots with stacks from short to 300bb deep — and reads
the exact stacks in front of it, not the nearest template.
Any bet size
No fixed bet menu. The network converges on its own preferred size for
each spot — a continuous choice from min-bet to pot — and grades your
sizing against that judgment, not a coarse grid.
Every multiway spot
Bomb pots are multiway by nature, which is exactly where game trees
explode. The network doesn't enumerate the tree — it just plays the spot
in front of it, however many players are in.
What it is — and isn't
Not a true solver. Honestly better than pretending.
WrapGTO does not compute a Nash equilibrium. The model
approximates GTO play, learned through self-play — that's a real
limitation, and we'd rather state it than market around it.
The alternative doesn't exist: a true CFR solver for
double-board PLO5 bomb pots would require crushing abstractions —
pre-configured seat and stack layouts, a handful of allowed bet sizes, and
heavy card bucketing — before the tree fits in any computer. What you'd gain
in theoretical purity, you'd lose in relevance to the hand you actually played.
—bb/100
Measured exploitability
We train a best-response adversary against the live
model and publish how much it can extract. The current probe hasn't
finished; the number will appear here when it does — whatever it says.
Why this exists
A study tool first. A business barely.
WrapGTO started as a personal project: one player who wanted
to study double-board bomb pots and found that nothing for the format existed
— no solver, no trainer, no library. The model, the engine, and this site grew
out of that.
It's priced to cover GPU time, not to build a rocket ship.
Most — if not all — of what it earns goes straight back into training runs
for new formats: PLO4 and PLO6, single board, hi-lo variants, and whatever
the games spread next.
Pricing
Early user — locked for life
$50$10/ month
80% off the standard rate. The price you join at is
the price you keep, for as long as you stay subscribed.
Unlimited trainer hands, graded move by move
Full Study mode — set up any spot, replay any line
EV-loss review on every decision
New formats as they ship (choose-your-format bundles later)
No card required to try. Cancel anytime.
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Early-user rate: 80% off the standard $50/mo, locked in for life.