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Catch friction before it turns into churn

BackTalk catches complaints and bug reports about your product on Reddit, Hacker News, GitHub and more, scores them for sentiment and priority, and queues the ones that need attention, so friction gets fixed before it becomes churn.

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The complaint you never saw

Most developers do not file a support ticket; they vent where their peers are. That thread costs you twice: the frustrated developer, and everyone who reads the thread later. Negative mentions arrive tagged with sentiment, priority and category, so a broken-webhook rant surfaces above a lukewarm aside, and nothing needs you to be watching Reddit at 2am.

Close the loop in public

Route the thread to engineering, then reply where it happened once it is fixed. A public fix on a public complaint is the cheapest trust you will ever buy: the original poster sees it, and so does everyone who finds the thread from a search for years afterwards. Triage states (seen, replied, ignored) keep the queue honest about what is actually handled.

BackTalk.sh inbox filtered to negative, high-priority mentions awaiting a reply
BackTalk.sh inbox filtered to negative, high-priority mentions awaiting a reply

Frequently asked questions

How does the prioritisation work?

Your filtering model scores every mention for sentiment, priority, relevance and category. High-priority negatives surface first, and the sentiment can be overridden by hand when the model reads a sarcastic thread wrong.

Can mentions reach the team where they work?

Yes: webhook destinations push signals to Slack, Discord or any JSON endpoint, and the API plus MCP server let you wire mentions into any internal tooling.

What happens to mentions I ignore?

Ignoring is a triage state, not a deletion: the signal stays on record for reporting, and repeat noise can be silenced with exclude terms or the global ignore lists.

Learn more

More use cases: AI share of voice · Question · Competitors · Praise · Digest reports · Shareable recap · Agent-native