Thank you for publishing on a GitHub repository, I will adjust the script for the original list.

I will also try to implement the "most similar word" strategy you suggested and will report the results here once I get a chance. Also, if you don't mind, could you share with me the word list you're using in the game? I appreciate the help, thanks.

So far it seems the least common letters strategy works best when there are only a few similar words left. In the beginning of the game, the most common letters strategy seems more efficient. Random guesses on average work great too.

Thanks a lot for the valuable insights, I have been implementing some different modes:

- least common letters - e.g.: first guess is "jumpy", good for reducing remaining available letters.
- most common letters - e.g.: first guess is "arise"
- random words - same strategy from the video I posted

Also, Is there an official word list for the game? I'm using a different dictionary, and not all words are accepted.

Now I’ve got a bunch of questions to improve it:

- What’s the best heuristic for picking the next guess? Random? Words with the most common letters? Least common?

- Could a lookahead strategy reduce the number of guesses? Might be too performance-heavy, but worth exploring.