This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Most intimacy apps offer static scripts or repetitive experiences. Caresse is different. Using a multi-model AI pipeline, every guided audio session is uniquely generated based on your preferences, mood, relationship dynamic, and selected boundaries. Whether you’re exploring solo or with a partner, Caresse creates immersive, private experiences that prioritize consent, personalization, and imagination—making every session feel fresh, meaningful, and uniquely yours.
Hi Product Hunt! 👋
I'm Rémi, a solo (bootstrapped) developer from France, and I'm excited to share Caresse today.
Why I built this
Regulations around explicit content platforms are getting a lot more restrictive — age verification laws in France, similar moves spreading across the UK and elsewhere, sites getting blocked, throttled, or forced to shut down entirely. At the same time, most intimacy apps still fall into one of two camps: static scripts that get repetitive after a few uses, or platforms built around visual content that don't leave much room for imagination — or for consent and personalization.
I wanted a third option: something legal, private, and consent-first, where the experience is generated for you rather than reused from a library everyone else sees.
What Caresse actually does
Caresse creates guided audio sessions using AI. Before each session, you set your preferences, mood, relationship dynamic, intensity, and any boundaries — Caresse then generates a unique session around that, every time. No two sessions are the same. It works solo or with a partner, and everything is audio-only: no video, no visuals, just voice and imagination.
How it's built
This has genuinely been the most technically interesting project I've worked on:
iOS and Android apps share a single UI, built with Kotlin Multiplatform
Backend is a .NET 10 API running on Azure Container Apps, with Postgres as the database
Each session runs through a 6-step LLM pipeline, including an AI-as-judge step that checks coherence and consistency before anything reaches the user, keeping generation fast without sacrificing quality
I've been documenting the architecture in a "Building Caresse" series on Medium if you want the deep dive — starting with how the multi-phase LLM pipeline is orchestrated.
Everything — backend, mobile apps, AI orchestration — has been built solo over the past few months.
What I'd love your feedback on
Does the concept make sense to you, and would you use something like this?
What would make you trust an AI-generated intimate experience — or what would stop you?
What feature would you want next (more languages, partner sync, video eventually, something else)?
I'll be here all day answering every question — critical feedback especially welcome. Thanks for checking out Caresse! ❤️
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About Caresse on Product Hunt
“AI-powered intimate audio experiences”
Caresse was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #91 on the daily leaderboard. Most intimacy apps offer static scripts or repetitive experiences. Caresse is different. Using a multi-model AI pipeline, every guided audio session is uniquely generated based on your preferences, mood, relationship dynamic, and selected boundaries. Whether you’re exploring solo or with a partner, Caresse creates immersive, private experiences that prioritize consent, personalization, and imagination—making every session feel fresh, meaningful, and uniquely yours.
Caresse was featured in Artificial Intelligence (473.7k followers), Audio (2.1k followers) and Intimacy (412 followers) on Product Hunt. Together, these topics include over 111.1k products, making this a competitive space to launch in.
Who hunted Caresse?
Caresse was hunted by Odinnou. 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 Caresse stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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