Vowle: a Wordle clone with vowel hints

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I've been wanting to make a Wordle clone for a while, and managed to put together a little project over the weekend. Vowle provides the location of vowels in the target word up-front, but limits the player to 4 guesses instead of 6. I wanted to eliminate the feeling of blindly guessing to start the game, so Vowle gives the player something to think on before entering a single keystroke. I forked an open-source project called Wordle+, and spent most of my time reading the existing source code in order to introduce the changes I wanted to make. I had fun and hopefully someone will enjoy playing the game. :) Links: Vowle: https://vowle.superc.lol/ Wordle+: https://mikhad.github.io/wordle/

Visit product View on Hacker NewsMar 11, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: single, code, open · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · 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.

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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

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