Flashy turns words you spot in real life into interactive flashcards. Beyond dictionary definitions, it teaches slang, double meanings, and cultural context—so you sound like a local, not a textbook.
Learn languages like a local
Flashy turns words you spot in real life into interactive flashcards. Beyond dictionary definitions, it teaches slang, double meanings, and cultural context—so you sound like a local, not a textbook.
Hey Product Hunt 👋 I’m Gabriela, a Product Manager (and now an indie dev!). I speak multiple languages, but I’ve always struggled with one thing: sounding like a local. At some point, I hit that language plateau where I could “get by,” but not fit in. The idea for Flashy came from that struggle: 📖 I’d read signs, menus, or books in French, Google the word… and end up with a stiff dictionary definition that didn’t explain the slang or double meanings. 🥲 It left me speaking correctly, but never na
that’s exactly why i don’t use translators anymore!!! https://vm.tiktok.com/ZGdahmpBx/
Had the opportunity to be a beta tester and immediately fell in love with the concept and the approach. Really looking forward to seeing flashy grow into its full potential. Congrats Gabby!
I really needed this. I've been living in Paris but work in English. I love how fun this makes learning the things I would normally just walk by everyday.
I’ve been happy to use this since the closed beta! My French vocabulary has improved a lot, especially thanks to the Vocab Builder feature. You rock @punchgabs !
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.