Duplicate Detection

That bug you think affects five customers? It's probably 50 — reported different ways across your Help Scout, Zendesk, and Intercom inbox. Jetson groups them automatically so you see the real impact.

Bug Reports & Features
Sorted by impact
Bug
Checkout fails on Safari
12 customers +4 this week
Feature
Export data to CSV
8 customers +2 this week
Bug
Password reset email delay
5 customers +1 this week

The Problem

Same issue, different words. "Login button broken," "Can't sign in," "Authentication failing"—these are all the same bug. But in your inbox, they look like three separate issues.

Impossible to know true impact. Is this bug affecting 5 customers or 50? Without grouping duplicates, you're making prioritization decisions with incomplete data.

Duplicate work everywhere. Multiple team members investigating the same issue from different tickets. Multiple GitHub issues created for what turns out to be one problem.

How Duplicate Detection Works

1

Analyze Your Conversations

Jetson reads every Help Scout, Zendesk, or Intercom conversation and understands the underlying problem.

2

Group Similar Issues

"Login broken" and "can't sign in" are recognized as the same issue and grouped together.

3

Show Customer Impact

Dashboard shows how many customers are affected. Biggest groups = biggest problems.

4

Act With Confidence

Drill into any group, then ship to GitHub or Linear with full customer context.

Why Teams Use Duplicate Detection

Prioritize by Customer Count

See exactly how many customers are affected. Fix what matters to the most people first.

Automatic Grouping

No manual tagging or linking. Related issues find each other automatically.

Smart Matching

Understands meaning, not just keywords. "Login broken" matches "can't sign in."

Clear Prioritization

No more guessing. Data-driven decisions about what to fix next.

Frequently Asked Questions

You're already fixing the wrong things. You just don't know it yet.

Connect Help Scout, Zendesk, or Intercom. See which issues truly affect the most customers.

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