Wordle Guesser is a program created by Nathan Huey to solve the daily Wordle. Originally created as a secret tool to gain a competitive edge against friends, Wordle Guesser has been adapted into a full-stack web app (Next.js/Django).

Wordle Guesser uses positional letter frequency to determine the best guess given previously color-coded words. The process starts by calculating the positional letter frequency for all possible words. Then for each word, it calculates the sum of the positional letter frequency for each letter and chooses the word with the highest sum. Lastly, it uses the color-coded response from the Wordle site to eliminate words that are no longer possible. It then repeats this process.

Github: https://github.com/njhuey/wordlebot

Success Rate: 89%
Average Number of Guesses Needed: 4.3