146 Interest Score
12 Discussions
0.08 Engagement
Apr 2024 Launched

Your daily AI language bento box ๐Ÿฑ Say "goodbye" or "adiรณs" to decision fatigue! bentolingo guides you precisely on what to do each day, so you can train 6 language skills consistently. Practice English or Spanish, with feedback from GPT AI.

What the Community Said

Hello Product Hunt! ๐Ÿ‘‹ bentolingo is your daily AI language bento box ๐Ÿฑ, created by language learners for language learners. We're Joseph and Anna, husband & wife independent dev duo with backgrounds in language education. Joseph taught English in Vietnam for 15 months, and Anna tutored English in Russia. There are no shortcuts to language mastery: consistency is the only route to proficiency. Half the battle of staying consistent is finding material at an appropriate level that trains all sk

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nice, it's like having a language coach in your pocket. I'm all in for turning daily chaos into a structured learning feast! definitely earns my upvote. How does it support learners when they hit a plateau? Is there a feature that helps mix things up or offers advanced challenges to keep that language journey spicy?

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Very much needed! I learned a new language through the normal pain of living and struggling in a new place. But if I had this I think it would have helped SIGNIFICANTLY! Thanks so much!

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Congratulations ! I really like your pitch to language learning ! Amazing execution. Have you considered a quiz in your format ?

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I like that it combines different skills like vocabulary, reading, and even culture. Is there a plan to expand to more languages in the future, or will it remain focused on English and Spanish?

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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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