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Feature the solver & game-AI benchmark dataset cluster
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---
title: LK Forge
emoji: πŸ”¨
colorFrom: green
colorTo: gray
sdk: static
pinned: false
short_description: Browser-based AI games, solvers, and tools
---
# LK Forge
**LK Forge** builds browser-based AI games, solvers, and tools β€” everything runs
client-side, no login, no tracking.
🌐 **[lkforge.com](https://lkforge.com)**
## What we work on
- **Game-AI engines** β€” minimax with alpha-beta pruning, MCTS, IDA*, expectiminimax,
and negamax across chess, Go, Connect 4, checkers, othello, backgammon and more.
- **Puzzle solvers** β€” Sudoku, Rubik's Cube, mazes, word search, and others.
- **LLM evaluation** β€” we benchmark frontier models on game-playing ability.
Read the study: [ChatGPT vs Grok: Game-AI Benchmark](https://lkforge.com/blog/chatgpt-vs-grok-game-ai-benchmark/)
## On Hugging Face
We publish the reproducible datasets behind our benchmarks here, each with a card linking
back to the live solver and the full write-up on [lkforge.com](https://lkforge.com).
**Solver & game-AI benchmark cluster:**
- [negamax-search-depth-scaling](https://huggingface.co/datasets/LKForge/negamax-search-depth-scaling) β€” Elo per ply of search for chess, Connect 4, checkers, othello
- [minesweeper-solver-benchmark](https://huggingface.co/datasets/LKForge/minesweeper-solver-benchmark) β€” win-rate by difficulty (Expert 36.2%)
- [sudoku-solver-benchmark](https://huggingface.co/datasets/LKForge/sudoku-solver-benchmark) β€” backtracking vs MRV vs constraint propagation
- [rubik-cube-solver-benchmark](https://huggingface.co/datasets/LKForge/rubik-cube-solver-benchmark) β€” min2phase solution length (~20.5 moves)
- [sliding-puzzle-solver-benchmark](https://huggingface.co/datasets/LKForge/sliding-puzzle-solver-benchmark) β€” 8- & 15-puzzle IDA\* length and nodes
- [maze-solver-benchmark](https://huggingface.co/datasets/LKForge/maze-solver-benchmark) β€” BFS shortest-path effort by maze size
- [tic-tac-toe-solver-benchmark](https://huggingface.co/datasets/LKForge/tic-tac-toe-solver-benchmark) β€” full minimax game-tree size (549,946 nodes)
- [game-ai-vs-llm-benchmark](https://huggingface.co/datasets/LKForge/game-ai-vs-llm-benchmark) β€” frontier LLMs vs our engines at game play
Every number is reproducible from the shipped, client-side engine β€” no login, no tracking.