Alternatives
Products that do what Chess Next Move Predictor does
Ruin their weekend. One move at a time 😉.
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2021 · chrisbutner.github.io
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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
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We built ChessBoss at the TechCrunch Disrupt hackathon this week. It didn’t make the top 10 but I thought Hacker News might think it’s pretty cool. https://devpost.com/software/chess-boss There are these really cool smart chessboards that can suggest moves and track your games... but they’re $400 and weigh 19 pounds. And of course there are apps that can analyze games but tracking and inputting games by hand is a huge pain. Or fully-digital chess apps... but board games are way more fun in real life! We wondered: “why can’t you just do that in software and bring the best…
2019 · devpost.com
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I made a chess engine today, and made it fit within 2KB. I used a variant of MinMax called Negamax, with alpha beta pruning. For the board representation I have used a 120-cell "mailbox". I managed to squeeze in checkmate/stalemate in there, after trimming out some edge cases. I am a great fan of demoscene (computer art subculture) since middle school, and hence it was a ritual i had to perform. For estimating the Elo, I measured 240 automated games against Stockfish Elo levels (1320 to 1600) under fixed depth-5 and some constrained rules, using equal color distribution. Then converted…
Feb 2026 · github.com
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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
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Chessmate is a transformer-based model that predicts your next chess move, tailored to players around 1500 ELO on lichess. Soon it will also offer personalized models and a broader range of ELO-based models. Hopefully this can offer a new and innovative way to learn chess and enjoy playing against a uniquely challenging bot!
2024 · chessmate.ai
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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
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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
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2024 · louisabraham.github.io
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Hi HN! I just built chessterm, a Rust-powered TUI chess engine to practice chess notation (PGN) for an upcoming chess competition. This was also a way for me to learn Rust more deeply, particularly bitboards for move generation and terminal UI development with ratatui Unlike typical chess UIs that wrap around Stockfish, this is built completely from scratch, with: - PGN-only input (no AI, just human vs human) - Bitboard-based move generation (u64, precomputed attack masks) - Built with ratatui for a smooth terminal experience Would love to hear your feedback!
2025 · github.com
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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
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AI chesscoachâ–²3An AI chess coach that analyzes your own games
Jun 2026 · chesscoach-web.vercel.app
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D4 Chess Club™▲3AI chess coaching that asks questions, not just answers!
Jun 2026 · d4chess.club
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