Alternatives
Products that do what Disco Chess does
Turn chess tactics into muscle memory
- 1

- 2CA
2021 · chrisbutner.github.io
- 3

- 4CC
2024 · checkmatechamp.net
- 5

- 6NA
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
- 7

- 8BN
blunderchess.net is an open source, peer-to-peer chess app where every five moves, players each get to make one blunder-move for their opponent
2025 · blunderchess.net
- 9

- 10

- 11

- 12IM
2025 · knightride.rakhim.org
- 13

- 14

- 15
- 16CTChess Twist▲29
I continue my experiment of transposing classic games onto an irregular grid. I've previously released variants of minesweeper and checkers. And now I'd like to share my variant of Chess. Chess can be a pretty punishing game, but I thought this was nevertheless a way to make it even more challenging by making it trickier to anticipate your opponent, even though both players still have the same information. From the playtests I've done, that challenge is pretty compelling. It also seems to be more fun at 2 people, where both players keep surprising one another.
2024 · polyreplay.com
- 17

Chess pattern training. No timers, no streaks, no ratings.
Jun 2026 · boxwoodchess.com
- 18

- 19CG
For no specific reason, I trained a neural network to generate random chess positions that look similar to positions from actual games (from lichess db). I also made it so you can condition it on some fixed pieces, and adjust the number of pieces. It turned out to be quite effective and I find it surprisingly fun and instructive to generate e.g. endgame positions with a certain pawn structure (set low temperature, place some pawns and position the kings, adjust number of pieces to get an endgame), and then figure out how to win vs. the computer in those positions. I hooked it up so that you…
2024 · chessdream.ai
- 20

- 21AI
A chess engine implementation inspired by AlphaZero, using MLX for neural network computations and Monte Carlo Tree Search (MCTS) for move selection.
2025 · github.com
- 22MO
rearrange the chess pieces so that the number of pieces threatening each square matches the large number in that square? pieces move freely https://chedoku.com/#dailypuzzle
2023
- 23

- 24

Ranked by how close each launch is in meaning, then by votes. Refine with a description →