Improve your Wordle game with a browser extension

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I created a Chrome extension to make Wordle more interesting and test out new strategies. It replaces the word "Wordle" with the total number of solutions remaining out of the original ~2,300 based on your currently guessed letters. If you open up the developer console, you can see the list of possible solutions left. I usually use it after solving the day's word, to see how other openers may have done, or to see how close to the solution I could have gotten by a particular point. I also made a video about my adventures (no spoilers) in poking under the hood of Wordle: https://youtu.be/AgharwWfh60

Visit product View on Hacker NewsMar 3, 2022

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TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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