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Revvue
Your Customers Speak for you !
Customers speak for 15 seconds. AI cleans it up. Your Google review count climbs. No app, no login, no typing.
About Revvue on Product Hunt
“Your Customers Speak for you ! ”
Revvue was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #130 on the daily leaderboard. Customers speak for 15 seconds. AI cleans it up. Your Google review count climbs. No app, no login, no typing.
On the analytics side, Revvue competes within SEO, Artificial Intelligence and Growth Hacks — topics that collectively have 513.1k followers on Product Hunt. The dashboard above tracks how Revvue performed against the three products that launched closest to it on the same day.
Who hunted Revvue?
Revvue was hunted by Moiz. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Revvue including community comment highlights and product details, visit the product overview.
Hey Product Hunt community! 👋
I’m the founder of Revvue.live, and I am incredibly excited to share it with you all today! 🚀
What inspired it & the problem we're solving:
Leaving a business review usually requires typing out a wall of text, which leads to massive "review fatigue." Customers drop off, and businesses miss out on invaluable feedback. On the flip side, trying to capture authentic customer sentiment on the spot is incredibly clunky.
I built Revvue.live to completely remove that friction. It’s an AI-driven voice-to-text platform designed specifically for business reviews. Instead of typing, customers can simply speak their mind. Our AI handles the rest instantly transcribing the audio, analyzing the sentiment, and turning spoken words into clean, actionable business reviews.
How it evolved:
What started as a core idea quickly evolved into a fully white-label, multi-tenant architecture. This means agencies and developers can easily rebrand the entire platform and deploy it for multiple clients or business locations smoothly.
I would absolutely love to get your feedback, answer any questions, and hear how you think voice-to-text can change the reputation management game!
What features should we build next? Let me know below!