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Product Hunt Estera

AI Receptionist that Answers Calls & WhatsApp 24/7

131
Traction Score
29
Discussions
Jul 27, 2026
Launch Date
View Origin Link

Product Positioning & Context

Meet Estera, the AI receptionist built for real estate, hotels, restaurants, and more. AI agent receptionist that answers every phone call and WhatsApp message in under 5 seconds, qualifies leads, books appointments, and follows up automatically. Built for real estate, hotels, restaurants, dental clinics, and more. Create your own AI agent assistant in under 3 minutes.
Productivity Customer Success Artificial Intelligence

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Estera?
Estera is a digital product or tool described as: AI Receptionist that Answers Calls & WhatsApp 24/7
Where did Estera originate?
Data for Estera was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Estera publicly launched?
The initial public indexing or launch date for Estera within our tracked developer communities was recorded on July 27, 2026.
How popular is Estera?
Estera has achieved measurable traction, logging over 131 traction score and facilitating 29 recorded discussions or engagements.
Which technical categories define Estera?
Based on metadata extraction, Estera is categorized under topics such as: Productivity, Customer Success, Artificial Intelligence.
Is Estera recognized by media or academic researchers?
Yes. It has been covered by media outlets like Nature.com. This indicates the concept has reached a level of mainstream or scientific viability beyond just developer forums.
What are some commercial alternatives to Estera?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Mindra, which offers overlapping value propositions.
How does the creator describe Estera?
The original author or development team describes the product as follows: "Meet Estera, the AI receptionist built for real estate, hotels, restaurants, and more. AI agent receptionist that answers every phone call and WhatsApp message in under 5 seconds, qualifies leads, ..."

Community Voice & Feedback

[Redacted] • Jul 27, 2026
I'm curious what makes businesses switch from a traditional receptionist to Estera. When does a human intervene ?
[Redacted] • Jul 27, 2026
Set it up for our front desk in like three minutes and it actually picked up on the first ring, which already beats our old system. Qualifying leads part feels solid so far, going to let it run for a week.
[Redacted] • Jul 27, 2026
Timely for us — we run a healthcare directory where most patient–clinic contact happens over WhatsApp, and the hard part isn't answering, it's knowing when to hand off to a human. How does Estera decide when to escalate? Also curious how you handle regulated verticals where you can't store health details in the transcript.
[Redacted] • Jul 27, 2026
The real estate use case is interesting — I manage rental properties, and the after-hours call problem is real. Tenants call at 10 PM about a leaking pipe, and you're choosing between answering every call or missing something urgent. How does Estera handle triage? Can it distinguish between "my faucet drips a little" and "water is coming through the ceiling" and route those differently? That escalation logic is where most AI receptionists fall flat.
[Redacted] • Jul 27, 2026
Setup was genuinely fast, had my agent handling test calls within minutes. The natural-sounding responses caught me off guard, way better than the robotic assistants I've tried before.
[Redacted] • Jul 27, 2026
Your website link is not working at the moment
[Redacted] • Jul 27, 2026
It looks good. But I can imagine that Estera will need to handle some edge cases when it won't be able to answer. Then what? Would it be able to create some kind of ticket, ready to be answered by a real person?
[Redacted] • Jul 27, 2026
Congrats on the launch @fredyandrei @toma_rares ! I've tested it and it was very simple to setup and use. All the flows and visual look were great! Love it!
[Redacted] • Jul 27, 2026
Estera the website is cool and easily understandable i like that and would love to test this agent how perfectly it can handle calls and disputes and how much data i have to give him and does it remember things and learns from the mistakes it did?
[Redacted] • Jul 27, 2026
This is nice. How does it handle callers who specifically demand to speak to a human?
[Redacted] • Jul 27, 2026
the not letting the agent commit when it's unsure approach is a smart way to frame the risk. curious about the other trigger for handoff though - what if the customer just isn't happy talking to a bot and asks for a real person directly, nothing to do with pricing or a gray area. does Estera hand off immediately on that kind of request, or does it try to keep resolving things itself for a bit first? for hospitality especially that could matter as much as the pricing accuracy does.
[Redacted] • Jul 27, 2026
I build on the support side so take the bias into account. Calls and WhatsApp look like one inbox and they are not, and the follow-up promise is where that shows.On a call the conversation has a beginning and an end. On WhatsApp it has neither. The customer replies four hours later in the same thread expecting you to remember, so it is really a record that never closes. That is a different data model to a call transcript, not a variation on one.The specific thing I would check is the follow-up. WhatsApp only allows free-form messages inside the service window after the customer's last message. Outside it you are on approved templates. So automatic follow-up either lands inside that window, or it goes out as a template and reads like one, which for a dental clinic chasing a booking is the wrong tone.The other one is handover. Estera answers at 2am, a human picks the thread up at 9am, and the customer has no idea a shift changed. Whatever was promised overnight has to be sitting in front of that human, or they contradict their own receptionist and the customer just sees a business changing its mind.Neither is a reason not to build it. They are the two places where one feature behaves differently per channel, and both are cheaper to design for now than to retrofit..
[Redacted] • Jul 27, 2026
Fredy, your answer to Gal about the agent knowing when not to decide is the strongest thing in this thread, so I will push on the vertical list instead.Clinics do not behave like salons or restaurants. A patient calling to book usually says why, and that reason becomes regulated health data the moment it lands in a transcript, a CRM field or a follow up message. In the US that also rules out the channel you lead with, because Meta does not sign a business associate agreement for WhatsApp, so a clinic running patient conversations there is exposed no matter how careful your agent is.Is a clinic a separate configuration for you, or the same agent with a different script?
[Redacted] • Jul 27, 2026
Congrats on the launch, Fredy!I saw you how you were sharing updates the past few months and I respect the consistency.In a world where businesses can improve their services with products like Estera, it's a no brainer.
[Redacted] • Jul 27, 2026
The live pricing and human handoff approach is practical. How does Estera prevent double-bookings when two customers try to claim the same slot at nearly the same time across calls and WhatsApp?

Discovery Source

Product Hunt Product Hunt

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

Deep Research & Science

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