Text surveys are dead. Are you ready to let your users actually speak their minds?
Hey Product Hunt community! 👋
We just launched Yappper today, and I wanted to open up a dedicated thread to hear your unfiltered thoughts, questions, and insights.
The core thesis behind Yappper is simple: Text surveys are exhausting, and they kill response rates. When you ask a user for deep feedback, forcing them to type out paragraphs on a mobile keyboard usually results in abandoned forms or generic, one-sentence answers.
We built Yappper to fix that by making feedback voice-first. Users just tap a mic, speak naturally, and our platform uses Gemini 2.5 Flash to instantly transcribe the audio and analyze the sentiment—giving founders and PMs 10x richer, more nuanced data without the heavy lifting.
I’d love to ignite a discussion around this shift in user feedback and how you are currently handling it:
The Friction of Text: How often do you abandon feedback forms simply because there’s too much typing involved? Do you think voice input lowers that barrier?
AI in Analytics: For those building SaaS, how much do you trust AI for qualitative tasks like Sentiment Analysis? (We found Gemini handles transcription blunders incredibly well by using contextual clues, but I’m curious about your experiences!)
Use Cases: Beyond standard beta-testing and customer satisfaction, what unconventional ways could you see yourselves (or your teams) using a seamless, embeddable voice-survey tool?
Drop your questions about the tech stack (we used Next.js, Supabase, and Polar for billing!), the design process, or any feature requests you have.
The Yappper team will be hanging out in the comments all day answering everything! 👇
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