105 Interest Score
34 Discussions
0.32 Engagement
May 2023 Launched

WordMentor is a revolutionary vocabulary app that extracts words from your favorite authors, allowing you to expand your vocabulary while immersing yourself in captivating literature.

Languages B2C

What the Community Said

**Hello Product Hunt Community!** 🚀Prepare for an extraordinary vocabulary journey with WordMentor, an app that takes your language learning to new heights! Immerse yourself in the captivating works of your favorite authors while harnessing the power of AI-driven memorization to accelerate your learning and retention. 📚 Explore the World of Words: Step into the literary universe of celebrated authors and dive into their profound lexicons. WordMentor opens the gateway to the eloquent writing

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Congrats! 🎉 I tried out your product and I think it has great potential to be used by people everyday with a bit of improvements. Here are some suggestions that I think would make the product even better: 1. improving the accuracy of the translations. I have noticed a closed door where it displays definition of "toiletries" as the plural of "toiletry". 2. Adding some examples and more meanings for a word would also be helpful. Sometimes, if the user couldn't find out the meaning of a word, he/sh

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What? Where was this when I was in High School taking my SATs?! Awesome product.

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@ashkrosh , Great concept! Paul Graham's example is my favorite :) Congrats on the PH launch!

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Congratulations of the launch! 🎉WordMentor is really cool solution that gives an opportunity to read not boring texts, but great authors from IT industry and improve a vocabulary based on their texts. Some questions: 1) what're the criteria for choosing the authors? Would you like to focus mostly on celebrities or somebody else? 2) is I understant correctly that at the moment you include only english-speaking authors and consequently texts? If so, are you planning to broaden your product to othe

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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