Use case

Find customer support signals in public conversations.

Not every complaint, bug report, confused customer, or feature request arrives in your support inbox. IntentHunter helps teams review public support signals from supported sources with scores, summaries, sentiment, and source links.

Why this matters

What's actually happening today

Support issues do not always arrive as tickets

Customers may complain on Reddit, ask for help on Hacker News, mention confusion on Bluesky, or compare your product elsewhere before they contact you directly.

Public frustration can grow quickly

A small product issue can become a public trust problem if nobody notices the thread while it is still active.

Raw mentions do not show urgency

A casual mention, a serious complaint, and a feature request need different levels of attention. Ranking and sentiment help the team review the right conversations first.

What you get

What IntentHunter does for you

Complaint and confusion detection

Track public posts where people describe bugs, confusion, setup friction, failed expectations, or unresolved product pain.

Sentiment and matched tags

Each match can include sentiment, signal type, tags, and a short explanation of why it matched your project.

Original source context

Open the source conversation before deciding whether the issue belongs with support, product, success, marketing, or leadership.

Alert channels for urgent matches

Email is the default. Slack, Discord, and Telegram alerts are available on plans that include those channels.

How it works

From setup to your first useful signal

  1. 01

    Add product and support topics

    Describe your product, common issues, competitors, feature areas, customer problems, and keywords customers use when they are stuck.

  2. 02

    We rank public support signals

    IntentHunter scans supported sources and ranks complaints, bug mentions, confused questions, and product pain by relevance.

  3. 03

    Review and route internally

    Use the source link, summary, score, and sentiment to decide who should review it and whether to save, ignore, or mark it as contacted.

FAQ

Common questions

Is this a replacement for Zendesk, Intercom, or Help Scout?
No. IntentHunter does not manage private tickets. It helps you find public conversations that may deserve support, product, or customer-success review.
Can this find complaints that do not mention my brand?
Yes, when the conversation matches the product problems, category topics, or competitor terms you track. Direct brand mentions are only one source of signal.
Does IntentHunter answer customers for us?
No. IntentHunter does not auto-post, DM, vote, or reply in-app. It links to the original conversation so your team can review context and decide what to do.

Ready when you are.

Create a project, choose the sources your plan supports, and review scored signals as scans run.