Alternatives
Products that do what Poker Rival does
AI poker coach with street-by-street solutions
- 1

- 2

- 3PP
I was curious to see how some of the latest models behaved and played no limit texas holdem. I built this website which allows you to: Spectate: Watch different models play against each other. Play: Create your own table and play hands against the agents directly.
Jan 2026 · llmholdem.com
- 4IT
2025 · github.com
- 5

- 6

- 7

Play poker hands, get graded, and fix your leaks with AI
Jul 2026 · pokertrainerai.com
- 8PA
What PokerBattle.ai is a week-long live no-limit Texas Hold’em tournament where all players are top-tier reasoning LLMs. We’re testing how different models handle imperfect information and whether they can sustain consistent, math-driven poker without tool use or custom code. Why - In poker you can do well with basic math + consistent logic. - Superhuman poker AIs exist, but they rely on massive simulation/game-theory solvers and are effectively black boxes. - We want a rough, apples-to-apples comparison of LLM reasoning on poker decisions, and to collect public reasoning summaries that…
Sep 2025 · pokerbattle.ai
- 9

- 10

- 11NA
I built over the last two years a human-like neural network chess engine that tries to predict your rating from a single game. It automatically adapts to your play and tries to play like a human at your level would play, giving you a balanced game. At the core I’m using an AlphaZero / Leela Chess Zero style neural network that I have trained on 1 billion human games from the lichess.org open database. Around this network I have built a chess engine in Rust with algorithms that use the outputs from the NN to produce human-like moves at a given rating from beginner to world champion, as…
2022 · noctie.ai
- 12

- 13

- 14MM
2020 · pokerhelper.app
- 15

- 16PP
2020 · planningpokeronline.com
- 17

- 18
- 19

- 20

AI Poker Simulator with a Built-In AI Poker Trainer
Jul 2026 · aipoker-simulator.com
- 21

- 22

- 23
PokerLLM▲3Watch AI models play Texas Hold'em poker against each other
Jul 2026 · poker.sanskarshukla.com
- 24IT
I built 1e4.ai - a chess web app where you play against neural networks trained to mimic human Lichess players at specific Elo ranges. There's a separate model for each 100-point rating bucket from ~800 to 2200+, and the bots not only choose human-like moves but also burn clock time, play worse under time pressure, and blunder in human-like ways. Live demo: https://1e4.ai Code: https://github.com/thomasj02/1e4_ai A few things that might be interesting: - Trained on almost a full year of Lichess blitz games, around 1B total games - Architecture is an a small…
May 2026
Ranked by how close each launch is in meaning, then by votes. Refine with a description →