Stop guessing what users want. Audyr's AI captures feedback through conversational widgets and integrations such as Intercom, merges duplicates automatically, and tells you exactly what to build next. Used by curious product teams.
User feedback is messy. I built something to fix that.
Duplicate requests. Random comments. Scattered conversations. Making sense of it all is the hard part. I've talked to successful founders and the same frustration kept coming up: getting sorted, actionable feedback is still a pain, even when you're doing well.
So I built Audyr. My first ever SaaS, built solo as a student in Next.js with a bunch of other cool tech I will get into at another point of time.
Audyr is an AI-powered feedback widget you embed directly into your app. It automatically deduplicates feedback, analyzes sentiment, surfaces the most important insights, and lets you have real conversations with users.
I didn't build this for enterprise teams with Intercom budgets. I built it for smaller startups and indie founders who are moving fast and can't justify bloated tooling costs. At $35/month, it's priced for the teams that need it most.
I also care a lot about design. The widget is clean, minimal, and built to feel native in your product. No cockpit dashboards. Just clear, readable insights.
Audyr is live. Would love for you to check it out at audyr.com.
Curious how the conversational widget works in practice. Is it proactively prompting users mid-session based on behavior triggers, or is it more of a passive "leave feedback here" button? The difference matters a lot for response rates — passive widgets get ignored, triggered ones get gamed.
most feedback tools don't fail at collection, they fail at synthesis. you end up with a tagged backlog of requests and someone still has to sit down and figure out what any of it means for the roadmap. ai clustering helps but it usually stops at "here are your themes," which is still a judgment call away from an actual decision.
what stands out here is the conversational widget approach, where the ai is probing in context rather than just logging a freetext box. combined with cross-source deduplication across channels like intercom, by the time something surfaces it's already been validated across multiple touchpoints, not just the loudest customer's voice. that's the part that's usually still manual. :)
The claim that you tell teams what to build next is interesting. But what happens when the loudest users want something different from the silent majority — how do you weigh that?
Congrats on the launch! I feel deduplication is the feature everyone looking for feedback tools wants to see, glad to see you focused on it for Audyr 🔥
With CoreSight, we rely heavily on user feedback to understand how people interact with the analysis outputs, and the hardest part is always separating the recurring themes from the one-off requests. How does Audyr handle feedback that's phrased completely differently but is basically asking for the same thing underneath?
About Audyr on Product Hunt
“ AI captures feedback and tells you what to build next”
Audyr launched on Product Hunt on April 1st, 2026 and earned 74 upvotes and 9 comments, placing #36 on the daily leaderboard. Stop guessing what users want. Audyr's AI captures feedback through conversational widgets and integrations such as Intercom, merges duplicates automatically, and tells you exactly what to build next. Used by curious product teams.
Audyr was featured in Customer Communication (12.6k followers), SaaS (41.6k followers) and Artificial Intelligence (466.5k followers) on Product Hunt. Together, these topics include over 132.6k products, making this a competitive space to launch in.
Who hunted Audyr?
Audyr was hunted by Sam. 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.
Want to see how Audyr stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sam