Entropy on MonkeyTactics Blog

The Mathematics of Solving 4, 8, and 16 Wordles at Once

Mon, 31 Aug 2026 00:00:00 +0000

Solving four Wordles at once sounds like four times the work. Solving sixteen sounds like sixteen times the work.

The mathematics says something stranger.

The number of possible answer combinations grows exponentially, yet every guess also returns feedback from every unsolved board. More boards create more uncertainty, but they also make each shared guess more informative. Then, late in the game, that advantage suddenly disappears: information is no longer the scarce resource. Guesses are.

How We Built a Four-Board Quordle Solver with Rust, WebAssembly, and Entropy

Sat, 29 Aug 2026 00:00:00 +0000

Quordle looks like four Wordle boards placed beside one another. That description is visually accurate—and computationally incomplete.

Every guess is shared across four independent answers. Each board returns its own green, yellow, and gray pattern. A useful next move must therefore do more than fit one set of clues: it should reduce uncertainty across every board that remains unsolved.

That is the problem we built the free MonkeyTactics Quordle Solver to solve. It combines a Rust/WebAssembly dictionary engine with browser-side entropy analysis, giving players four candidate lists and one information-rich shared recommendation without sending their guesses to a server.

Wordle vs. Quordle Strategy: Why Four Boards Change Every Guess

Sat, 29 Aug 2026 00:00:00 +0000

Wordle and Quordle use the same colored clues, but they reward different styles of thinking.

Wordle asks you to identify one five-letter answer in six guesses. Quordle asks you to identify four answers with nine shared guesses. The extra boards do not merely make the puzzle four times larger. They change what makes a guess valuable.

In Wordle, a move can be judged by how well it advances one board. In Quordle, every move spends a shared resource. A word that nearly solves Board 1 may reveal nothing useful on Boards 2, 3, and 4. The strongest move often balances immediate progress with information across several parallel search spaces.