Noctie – A chess AI that predicts your rating
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…
Noctie – A chess AI that predicts your rating launched on November 23, 2022 with 134 votes, #268 of 3,471 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Noctie is a chess engine powered by a neural network trained on one billion human games from lichess.org. It analyzes a player's single game to predict their rating, then adapts to provide appropriately matched opponents ranging from beginner to world champion level. Built in Rust using AlphaZero-style algorithms, it aims to play like humans at specific skill levels rather than simply playing perfect chess. The creator plans to develop it into an AI coaching tool offering position-specific feedback tailored to player ability.
written from the facts on this page · September 2026
From the sources
Practice chess against a humanlike chess AI & coach
In the maker’s words, at launch
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…
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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…
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