Showcases / 03 products

Shipped products, powered by strategy infrastructure.

Three working products show how Pokerai API turns solver-grade GTO frequencies, ranges, and real-time solving into focused tools for training and study.

01Counterplay · 过招
02MelaGTO
03Preflop Explorer
All three products are maintained by Pokerai API.
Updated · Maintained by Pokerai API
01iOS trainer / production caseMaintained by Pokerai API

Counterplay · 过招

A native 6-max, 100BB iOS trainer with five strategy-driven opponents. Every decision is graded against live Pokerai API frequencies; completed hands feed searchable history, recurring leak reports, quick or exact spot lookup, and optional grounded coaching.

270lines in the API client
0cached strategy
10API endpoints in use
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Counterplay / iOSreal product interface
Counterplay iOS live training table
Counterplay iOS analysis report
02macOS study app / production caseMaintained by Pokerai API

MelaGTO

A native macOS study workspace built around local MelaSolver GPU and CPU engines. Browse bundled preflop strategy, construct custom postflop trees, solve on-device, inspect strategy and EV, import real hand histories, train decisions, and export work without moving solver computation to a remote server.

GPU + CPUlocal solver backends
13solver endpoint semantics
5hand-history site families
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MelaGTO / macOSreal product interface
MelaGTO macOS home workspace
MelaGTO solved strategy browser
03Web range browser / production caseMaintained by Pokerai API

Preflop Explorer

A browser-based 6-max preflop study tool that reuses Pokerai's existing action-tree and mixed-strategy browsing flow. Follow a real action line, compare the previous player's range with the current decision, and inspect exact combo frequencies without handling an API key.

6-maxpresolved action trees
169starting-hand classes per grid
JWTsame-origin user authentication
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Preflop Explorer / Webreal product interface
Preflop Explorer root action with the UTG mixed-strategy range
Preflop Explorer comparing the UTG opening range with the MP response range

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