I’m currently working on a personal project: building a basic Wordle solver, partly for fun and partly to strengthen my coding skills. The idea is to create an algorithm that can suggest optimal guesses based on frequency patterns and previous feedback (green/yellow/gray). I’ve already found a valuable database in the 5 Letter Words List which gives me a good dictionary of possibilities. I also refer to the Wordle Answer archive to test and validate the solver’s accuracy against real-world data.

Now here’s where I could use some help from this brilliant community:

• Has anyone here built a Wordle bot, assistant, or solver of their own?

• What were some challenges you faced—e.g., handling letter position vs. frequency?

• Did you prioritize eliminating unlikely letters early or trying to guess the actual word faster?

My current logic is fairly simple: Start with a high-entropy word (rich in common letters like E, A, R, T, S), then refine the pool based on the feedback. But as I dive deeper, I realize how complex things can get. For instance, double letters, rare consonants like ‘Z’ or ‘Q’, and red herrings can throw my logic off course.

Any advice on refining the logic tree, improving efficiency, or identifying better word patterns would be appreciated. Feel free to recommend reading material, GitHub repos, or even your own anecdotal strategies. Let's build better brains—for bots and humans.