52 Interest Score
41 Discussions
0.79 Engagement
Dec 2025 Launched

Denise is an AI receptionist built for small business and answers calls with a natural, human-like touch. Setup is simple: Choose from 6 voices and 4 tone styles, control how Denise responds, and sync with 8000+ apps via Zapier. With 24/7 and multiple call handling, Denise ensures you save time on admin and never miss a call again.

What the Community Said

Hey Product Hunt Community! 👋 We're thrilled to introduce you to Denise, an AI Receptionist that answers calls for small businesses like a real person. 📞 Here’s the problem: 40% of business calls come in after hours, and nearly 50% go unanswered — that’s time and potential customers lost. With this in mind, we built Denise for small business owners who get interrupted by the same repetitive calls every day — things like “Do you offer mobile service?” or “Can I book an appointment?” OR receive ca

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I am so excited for showing this for the public! 🎉

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Congratulations Team! Looks schmick. 👌 Most “AI receptionist” stuff feels like a fancy IVR. This feels closer to how a real person talks on the phone. If it can deal with rushed callers and half information, that’s a big win.

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Really proud to finally put this out into the world! 🚀

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Congrats on the launch, this is a very real problem you’re tackling. A couple of questions / thoughts from my side: How do you handle handoff to a human when a caller goes off-script or gets emotional (angry, confused, urgent)? Any guardrails around call recording + compliance across AU/US/UK? That’s usually where non-technical owners get nervous. Would love to see a very simple “missed revenue” calculator on the site (e.g. X missed calls/month -> Y estimated $ lost) it would make the value p

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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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