Alternatives
Products that do what A fast command-line tool for solving Queens puzzles does
I've been hooked on Queens puzzles (https://www.linkedin.com/games/queens/) for the last few months, and decided to try and build a solver for them. Rather than doing a traditional solution search, I tried to model it instead on how humans solve these puzzles, iteratively eliminating and confirming possible squares for Queens. And since this was a side-project, I decided to go overboard, and try and make it as fast as possible (avoiding HashMap/HashSet in favor of bit fields, for example).
- 1MC
2018 · mazebattles.com
- 2WC
2020 · danieljanus.pl
- 3

- 4MN
This is an idea I’ve been kicking around for a long time, and I decided to finally code it up. In the same way that Scrabble decomposes words into letters, what if there was a game that decomposed letters into sub-shapes? There’s a lot of directions this could go, and I’m still exploring the possibility space. Enjoy. Suggestions welcome. It doesn’t have a real name yet.
2024 · shovemedia.com
- 5AS
2018 · bwasti.com
- 6AQ
2015 · anysudokusolver.com
- 7JA
2015 · jeopractice.com
- 8AC
Hello, This is something I've wanted to build for awhile (first bought the domain in 2020 (then lost it for a year+)). It's a tactics solver on each new tab page. There are 5 modes of play: Easy (<1200 elo) Medium (1200-1800) Hard (1800-2400) Expert (2400+) Speedrun (solve as many puzzles as possible in 60 seconds). I'm having a ton of fun with it, and definitely noticing improvements with actual games (definitely solved the most puzzles in my life while developing this extension). If you check it out, please let me know what you think. Any feedback is good!
Apr 2026 · leetchess.com
- 9NA
2017 · petedeas.co.uk
- 10AG
2019 · treasure.surge.sh
- 11ML
2020 · morelettersinc.com
- 12MM
2014 · play.google.com
- 13GA
I wanted to learn more about RAG implementations, so I built something to solve the constant digging through manuals whenever we play a game. It's fairly simplistic, but actually has worked pretty well for some of these conflicts. Everythings Open Source on GitHub if you're curious (or have ideas), and I'd love to hear feedback from fellow boardgamers!
2024 · gamegame.ai
- 14MY
A fun little game idea I had last year after building a personal kb based bit manipulator to have a better sense of the binary space. All sounds and graphics are my own.
2025 · 24bitsa.day
- 15OS
2013 · yeppp.info
- 16RA
2021 · apps.apple.com
- 17CG
2015 · battle.hexlet.io
- 18TY
2021 · phoe.github.io
- 19PC
Built this with my roommate over the weekend. At the end of the game, GPT will share its reasoning for each choice, which yields some funny results and explains why its so hard to win. Enjoy!
2023 · codenames-with-gpt.netlify.app
- 20IB
Fully leaned into vibe coding this time around. Started on v0, at some point ejected into running locally (getting v0's exported folder to run locally was a challenge), then iterated with Cursor over the course of a few hours. Really neat how much can be accomplished just conversationally these days.
2025 · macrodata-refinement.arjit.me
- 21TN
Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…
2024 · github.com
- 22WM
We wanted to test if a smaller model like GPT-4.1-mini could beat its bigger brother 4.1 at the game Tic-Tac-Toe using only context engineering. We put them in a 100-game tournament. For the smaller model, we gave it a few examples of winning moves from past games right before it made its own move. The results were clear. Without the examples, the smaller model struggled against GPT-4.1. With the examples, its effectiveness increased by nearly 200%, and it consistently won. It's a simple demonstration, but it shows that a smaller, faster model with good, timely examples can outperform a more…
2025 · github.com
- 23PP
I've been working on applying LLMs to long-context, verifiable problems over the past year, and today I'm releasing a benchmark of 62,000 pencil puzzles across 94 types (sudoku, nonori, slitherlink, etc.). The benchmark also allows for intermediate checks /rule breaks for all varieties at any step. I tested 51 models against a subset (300 puzzles) in two modes: single-shot (output the full solution) and agentic (iterate with verifier feedback). Some results: - Best model (GPT 5.2@xhigh) solves 56%. (~ half the puzzles are unsolved by any model) - Agentic solves average 29 turns. The…
Mar 2026 · ppbench.com
- 24

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