Replying to reviews manually didn’t scale, so I built something

As our apps started receiving consistent daily reviews,
I assumed replying was just a small hygiene task.

It wasn’t.

Over time I noticed:

• Some reviews contain real product roadmap signals
• Some contain monetization signals (“I’d pay for X”)
• Some contain competitive insights (“Switched from Y because…”)
• And many are just noise

But inside App Store Connect / Play Console, everything looks the same.

Star rating alone isn’t predictive.
Sentiment alone isn’t predictive.

Specificity is.

After analyzing hundreds of reviews, I realized the real bottleneck wasn’t writing replies — it was detecting which reviews actually deserved attention.

So I built a small tool that:

• Pulls reviews automatically
• Detects high-signal feedback
• Categorizes intent (bug, feature, churn risk, monetization)
• Drafts contextual replies instead of generic templates

It’s been surprisingly effective at reducing manual overhead while making replies more intentional.

Still early, but it’s already saving meaningful time.

If you’re getting ~20+ reviews/month and feeling the manual process is repetitive, I’m opening it to a small group of founders for beta feedback.

Happy to share details with anyone interested.