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Use case

Product feedback from public pain threads

Users vent in GitHub issues, Stack Overflow questions, and Reddit threads long before they fill out your feedback form. Search for structural pain - repeated workarounds, “I wish”, and integration gaps - to prioritize what ships next.

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How it works

  1. Step 1

    Search implementation pain

    Look for error patterns, missing features, and “how do I…” questions in SO and GitHub - not just feature requests in your inbox.

  2. Step 2

    Separate support debt from roadmap signal

    One-off environment bugs are support. The same gap across versions, tags, or repos is roadmap signal.

  3. Step 3

    Share evidence with the team

    Export results (CSV on every plan) or share thread links in triage. Real quotes beat abstract ticket counts in prioritization debates.

How Needle compares

Where each approach fits, and where it falls short.

ApproachBest forBuying-intent signalFree option
In-app feedback widgetsExisting usersBiased sampleVaries
GitHub issues aloneYour repoDirectYes
NeedleCross-community pain searchCategory-wide7-day trial

Frequently asked questions

Setup, limits, and every platform are covered in the docs.

Best platforms for dev-tool PMs?
Stack Overflow for precision signals; GitHub for workflow and maintainer dynamics. See our API/infra research guide.
Do stars equal demand?
No. GitHub stars lag sentiment and can mislead. Read issues and discussion threads.
How often to run searches?
Weekly research sprints for active products; Auto Search for ongoing category monitoring post-PMF.

Find the conversations worth replying to

Needle searches public communities for buyer intent, ranks every thread, and tells you which ones to answer first.