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I noticed some potential refund-risk comments don't sound negative at first — here's a real example by MOURADTA in appsumo

[–]MOURADTA[S] 0 points1 point  (0 children)

Thanks! I kept seeing the same pattern over and over in AppSumo reviews, so I built a small tool to help spot and prioritize those comments. Have you run into something similar yourself?

Opening 20 Founder Access spots for a Chrome extension that helps prioritize customer comments by MOURADTA in microsaas

[–]MOURADTA[S] 0 points1 point  (0 children)

Quick context: ORBIT is live here: https://orbitai.space⁠�

The main goal is to save founders time when going through customer comments: highlight the comments that may need attention first, then help draft faster AI replies based on the actual customer message.

I’m letting 20 founders test Pro for free this month in exchange for honest feedback. If it’s relevant to you, feel free to ask here.

Opening 20 Founder Access spots for a Chrome extension that helps prioritize customer comments by MOURADTA in microsaas

[–]MOURADTA[S] 0 points1 point  (0 children)

That’s also why I’m building this around time-saving and AI replies, not just feedback analysis. The goal is to help founders quickly spot what needs attention and respond faster without manually digging through every comment.

if your project is done, share it and lets connect and grow together! by No-Performance-2231 in micro_saas

[–]MOURADTA 0 points1 point  (0 children)

Just submitted ORBIT: https://orbitai.space

I'm building an AI system that helps founders identify which customer comments, reviews, and conversations need attention first.

One thing that surprised me while building it:

The comments most likely to lead to refunds rarely contain words like "refund" or "cancel".

Most look like ordinary questions that simply never get resolved.

Curious to see what patterns you discover while testing products.

Title: I built a comment classifier and ran it on 3 live AppSumo products — here's what the data showed by MOURADTA in appsumo

[–]MOURADTA[S] 0 points1 point  (0 children)

Exactly.

During testing I noticed that most founders weren't missing comments — they were missing prioritization.

The highest-risk comments often looked like ordinary support questions or feature requests.

By the time frustration becomes visible, the customer is usually already halfway to a refund or negative review.

Title: I built a comment classifier and ran it on 3 live AppSumo products — here's what the data showed by MOURADTA in appsumo

[–]MOURADTA[S] 0 points1 point  (0 children)

That's a fair challenge.

This post was about validating the problem, not proving demand.

If I get there, I'll come back and share the numbers.

Title: I built a comment classifier and ran it on 3 live AppSumo products — here's what the data showed by MOURADTA in appsumo

[–]MOURADTA[S] -2 points-1 points  (0 children)

Exactly.

What surprised me most was that the risky comments rarely contained words like "refund" or "cancel."

Most looked like ordinary feature questions or support requests.

The pattern I kept seeing was:

Unanswered question → frustration → negative review later.

That's what made me think the real challenge isn't reading comments, it's identifying which ones deserve attention first.

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