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Genius
Turn in-app feedback into your next sticky feature.
Add one tiny feedback trigger to your app. Genius captures the thought, keeps the context, and turns scattered feedback into a sticky score. Start shipping what users actually want, then close the loop when it goes live.
Hey Product Hunt, Alex here, maker of Genius 👋
Software has a strange habit.
We make our most expensive decisions with our cheapest evidence.
A feature can take weeks to build. Months to perfect. Thousands of dollars to support.
And the decision to build it often begins with:
“I think users want this.”
That is the problem Genius was built to solve.
Most feedback tools help teams collect more feedback. They give you boards, votes, tags, statuses, and a tidy place to store every request.
But feedback is not the product.
Confidence is.
A request without context is just a sentence.
A vote is not a roadmap.
The loudest customer is not always the clearest signal.
And a beautifully organized feedback board can still become a beautifully organized graveyard.
I learned this while building and operating multiple software products.
The feedback was never missing. It was everywhere.
Buried in support tickets. Mentioned on sales calls. Dropped into Slack. Sent through emails and DMs. Shared while a user was frustrated, then separated from the moment that made it meaningful.
By the time we sat down to decide what to build, the evidence had lost its shape.
So I built Genius around a different idea:
The winning feedback platform will not be the one that stores the most requests.
It will be the one that helps a team recognize the right feature before a competitor does.
Genius captures feedback while the user is still inside the product. It preserves the context behind the request, connects similar signals, helps teams compare opportunities with the Sticky Idea Score, routes the evidence into the tools where work already happens, and closes the loop with the customers who asked.
The goal is not to automate product judgment.
It is to improve the evidence behind it.
Genius helps turn:
“I think users want this.”
Into:
“We know why this matters.”
A few things you can do with it:
💡 Capture feedback directly inside your product
🔎 Connect repeated requests into meaningful patterns
📊 Prioritize opportunities with customer and product context attached
↗️ Send the evidence into Slack, Linear, GitHub, or your own workflows
✅ Notify the people who asked when the feature ships
I built an interactive walkthrough so you can experience the full loop without creating an account. You can open it directly from the launch page above.
My launch-day question is not, “Do you like it?”
It is:
Does Genius make the difference between collecting feedback and understanding it feel clear?
Tell me where that idea lands, where it gets lost, and what evidence your team would need before trusting a product like this with roadmap decisions.
For the Product Hunt community, use code PH50 for 50% off your first three months. The offer ends July 23.
Good products listen.
Sticky products remember, decide, and answer.
Thanks for taking a look🤘
Alex
About Genius on Product Hunt
“Turn in-app feedback into your next sticky feature.”
Genius was submitted on Product Hunt and earned 9 upvotes and 13 comments, placing #85 on the daily leaderboard. Add one tiny feedback trigger to your app. Genius captures the thought, keeps the context, and turns scattered feedback into a sticky score. Start shipping what users actually want, then close the loop when it goes live.
On the analytics side, Genius competes within User Experience, SaaS, Maker Tools and Vercel Day — topics that collectively have 412.8k followers on Product Hunt. The dashboard above tracks how Genius performed against the three products that launched closest to it on the same day.
Who hunted Genius?
Genius was hunted by Alex. 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.
Alex