We’re not a Wordle solver

What a constraint-input solver actually does

The classic Wordle solver workflow: you guess a word in Wordle, see the colors, type those colors into a form on a separate site, then look at a list of remaining candidate words. Repeat for each turn. By turn three or four the list is short enough to pick from.

Those tools work. They’re fine. The reason we didn’t build one is that the workflow has friction at exactly the wrong spot: you have to leave Wordle, transcribe colors, leave the solver, retype the guess, see new colors, transcribe again. By the time you’ve done that twice, you’ve spent more time copying tiles than thinking about the puzzle.

What we do instead

One trip to wrdlcheat per day. You pick how hard you want the puzzle to be (2, 3, 4, 5, or 6 turns to finish), and we give you a single starting word calibrated to that. You type it into Wordle once. The colors that come back are usually enough to deduce the answer in the number of turns you requested.

On the turn-2 setting, the hint usually lands four greens and the answer is almost handed to you. On the turn-6 setting, it’s just a smart opener and the rest of the puzzle is on you. In between, the gradient does what you’d expect.

The point is that one well-chosen guess does most of the work a constraint-input solver does, without the tile-transcription overhead. You spend the saved time actually playing the puzzle.

When you’d actually want a real solver

There’s one case where a constraint-input solver beats our approach: when you didn’t use our hint to start, you burned three guesses on your own, and now you’re stuck with a partial grid and no idea what fits. A solver that takes your existing greens and yellows and shows you the short list of candidates is genuinely the right tool in that spot.

We don’t do that here because it’s a different workflow with different ergonomics — you can search “wordle solver” and find half a dozen good ones. What we do well is the upstream version of the same problem: help you avoid getting stuck in the first place. The algorithmic logic is the same (eliminate as many candidate words as possible per guess); we just front-load the calculation into a single high-coverage opener.

More on the math behind that approach in the full strategy guide — and on which specific openers we recommend in the starting-words breakdown.