Genius
Turn in-app feedback into your next sticky feature.
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Genius - Turn in-app feedback into your next sticky feature.

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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.

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Maker
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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

Love how it captures the surrounding context when you flag something, makes triaging feedback way less painful later. Wish I'd had this during my last sprint.

Maker

 That’s exactly the point. Feedback without context is just noise. Genius keeps the moment intact, so when it’s time to act, you’re not guessing what the user meant.

Where did that missing context slow your team down the most?

Dropped the widget into a side project and the context capture actually felt useful, not just another inbox dump. Liked that it turns comments into a score you can sort by, makes triaging way less painful.

Maker

 That’s the distinction. Most feedback tools collect opinions. Genius is built to help you decide what deserves attention. The score turns a crowded inbox into a signal you can actually act on. What would you want that score to weigh most: frequency, customer value, urgency, or something else?

finally something that doesn't make me dig through slack threads to remember what users actually said. the context capture is pretty clever, basically you drop one widget and forget about it.

Maker

 That’s the promise. Feedback shouldn’t become archaeology. Drop in one widget, preserve the moment, and let the signal find its way back to the product. What kind of feedback usually gets buried deepest in your Slack threads: bugs, feature requests, or the little comments that reveal a bigger problem?

Launching a mobile app soon and this is exactly the phase where feedback is scattered across app store reviews, DMs, and random messages so the timing of seeing this is funny. Practical question: is the feedback trigger web-only right now, or is there a way to embed it in a React Native app? Most tools in this space treat mobile as an afterthought and that's where the context-capture would matter most for me.

Maker

 You’ve found the exact edge we care about. Right now, Genius is web-first. I don’t want to call a wrapped web view “mobile support” and pretend the problem is solved. A proper React Native experience is the next frontier because you’re right: on mobile, context isn’t a nice-to-have. It’s the difference between useful feedback and a mystery. What kind of application are you building? I’d love to understand your launch flow and potentially build this around a real use case instead of a roadmap assumption.

Love how the trigger stays invisible until it's actually useful. Most feedback widgets feel like clutter, but this one earns its place by keeping the surrounding context intact instead of pulling users out of flow.

Maker

 That was the idea. A feedback trigger shouldn’t ask for attention. It should wait until the moment it can earn it. Keeping the context intact means the user stays in the experience, and the team gets something they can actually use. Where do feedback widgets usually become the most distracting in your product?

The "sticky score" bit is genuinely clever, way more useful than a noisy spreadsheet of comments. Wish more tools treated feedback like a living product asset instead of a graveyard.

Maker

 Exactly. A graveyard tells you what was said. A living product asset tells you what to do next.

Sticky Score is meant to keep the signal alive as the product, customers, and priorities change. What would you want it to weigh most in your workflow: frequency, revenue impact, urgency, or strategic fit?