ReviewPulse
AI-powered review intelligence for mobile app developers
Hey Indie Hackers!
I'm a solo founder and I just launched ReviewPulse — an AI-powered review intelligence tool for mobile app developers.
The problem I kept seeing: developers spend hours manually reading through hundreds of App Store and Google Play reviews trying to figure out what users love, hate, and want next. It's tedious, time-consuming, and easy to miss patterns.
So I built ReviewPulse to solve this.
Here's how it works:
- Paste your App Store or Google Play URL
- ReviewPulse fetches your latest reviews automatically
- AI analyzes each review: sentiment (positive/negative/neutral) and category (bug report, feature request, pricing complaint, praise, etc.)
- You get a visual dashboard + an AI-written weekly report summarizing key insights
I launched it today and it's free to try. Would love your feedback — especially from anyone who manages a mobile app and drowns in reviews.
👉 https://review-fetcher-abdussamedkomu.replit.app
What do you think? Is this something you'd use?
5 Comments
Reading app reviews usually stops being useful when patterns are buried under repetition and noise.
One thing that often gets overlooked is separating “emotion” from actual product signals like bugs vs feature requests.
When you look at the output, what feels more valuable right now — the dashboard view or the weekly written summary?
First of all, thank you for your feedback. That’s a great question. I think the answer to your question is that, for an app developer, a weekly report is certainly more precise, but charts can also help convey the big picture and the overall sentiment.
That makes sense.
A lot of useful trends probably show up in the written summary before they become obvious in a chart.
The wording people repeat tends to tell the story pretty quickly.
I'd be careful treating this as a review-analysis problem too quickly.
The interesting question may not be whether developers can understand their reviews faster.
It may be what decisions they become more confident making once they do.
Those sound similar, but they can lead to very different conclusions about what value is actually being delivered.
I wouldn't make that call casually from early usage feedback.
Thank you for your feedback. We will continue to develop the project in this area as well.