Master any language naturally through AI-powered conversation. Learn English, Spanish, French, and Italian with real-time feedback from AI tutors that challenge you, correct your mistakes, and make you speak — anytime, anywhere.
Fluency starts when your fear shuts up. Zpeakr helps.
Master any language naturally through AI-powered conversation. Learn English, Spanish, French, and Italian with real-time feedback from AI tutors that challenge you, correct your mistakes, and make you speak — anytime, anywhere.
🧠 Dear Product Hunt community, Over the past year, I’ve been obsessed with one question: Why is it still so hard to speak a new language? Today, I’m beyond excited to finally launch Zpeakr here on Product Hunt 🎉 ⸻ 🧩 TL;DR (Flagship Feature): Zpeakr gives you on-demand AI tutors that make you speak — no excuses, no scheduling, no fake progress. Just raw, real voice conversations and instant feedback — available 24/7. ⸻ 😩 The Problem Most language apps teach you everything except how to actually s
I see that the cost is 2 credits per call. What is a call exactly? 1 minute? 10? 100? Let me know. Thanks
Love the angle tackling speaking anxiety head‑on is where real fluency starts. Curious how you personalize practice to different confidence levels and contexts. We’re out today as well happy if you give it a spin.
I need real speaking practice to gain confidence in new languages. How does Zpeakr adapt feedback to different fluency levels?
This is brilliant! The 24/7 AI tutor angle is such a game-changer for anyone who struggles to find practice partners.
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.