Link: https://www.retour.tech

When you re building fast, feedback doesn t disappear it just gets scattered.

Some users DM on Twitter.
Some drop notes in Slack.
Some never bother because it s too much effort .

I hit that wall hard while building my own product. I wasn t lacking feedback I was lacking signal.

Retour

The hardest part wasn t building it was knowing what users actually felt

Post

As a builder, I underestimated how messy user feedback gets once real people start using your product.

Retour

As a founder, the biggest silent killer for me wasn t traffic or growth it was unclear, scattered user feedback.

Feedback came in through:

• random Slack DMs

• emails I forgot to answer

• comments inside Notion docs

• screenshots people dropped in Discord

Hey PH

As a solo founder, the hardest thing for me hasn t been coding it s getting honest, actionable user feedback without adding more friction for users.

So I ve been building Retour, a lightweight feedback component you can drop into any site or SaaS. Not a widget, not a big dashboard just a clean component teams like Vercel/Supabase engineers use internally.

A few things it solves:

You ship features. You launch pages. You fix bugs.

And yet
Users still report issues in messy ways: screenshots missing, unclear steps, emails scattered everywhere.
Feedback becomes a nightmare to track, prioritize, and act on slowing down your team and your product.

We felt this pain firsthand. That s why we built Retour.

Retour is a tiny, lightweight feedback button you can drop anywhere in your app. Users click submit done.
Every piece of feedback lands instantly in Slack, while your dashboard automatically generates AI-powered summaries so your team sees what really matters.

I ve been building Retour for the last few months, and instead of talking about the product, I wanted to share a small case study about what I learned from integrating a feedback component directly inside apps.

When I added an always-visible feedback button inside my own projects, two things happened:

1. Feedback volume increased not because I got more users, but because users finally had a low-friction way to talk.

2. The type of feedback changed instead of love your product, I started getting context-rich messages about confusion points, friction moments, and emotional cues.

3. Patterns became obvious once I added AI summaries + emotional analysis, I could see clusters like confusion around onboarding, frustration around billing, or delight after success state.

This completely changed how I shipped updates.
I stopped guessing and started fixing things that actually mattered.