Chessdream – Generate realistic chess positions with AI
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…
Chessdream – Generate realistic chess positions with AI launched on May 16, 2024 with 45 votes, #676 of 4,539 launches that month and more than 90% of that year's launches.
In plain words
Chessdream uses a neural network trained on real chess games to generate realistic positions, allowing users to set specific pieces, adjust piece counts, and control randomness. Designed for chess players seeking practice, it lets users generate custom endgames, openings, or themed positions, then play against computer opponents. The tool combines position generation with built-in analysis through lichess integration and direct play via the Noctie engine, making it useful for studying specific pawn structures and tactical scenarios.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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…
Does a similar job
all alternatives →
Memory Chess2025 · thememorychess.com · ▲198Memorize a chess position, rebuild it from memory, and get an instant score. Play free to train board vision, visualization, and spatial memory.
- CAChessCoach – A neural chess engine that comments on each player's moves2021 · chrisbutner.github.io · ▲506
Noctie – A chess AI that predicts your rating2022 · noctie.ai · ▲134I 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…
I built a game to help you learn neural network architectures2024 · graphgame.sabrina.dev · ▲321- CEChessBoss – enhancing physical chessboards with computer vision2019 · devpost.com · ▲83
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…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 22d ago · stillwet.art
FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 23d ago · fastrouter.ai
Source: Show HN post ↗ · launch text quoted in part
