Use case
"Recommend me a tool that does X" threads are often high-intent moments. IntentHunter finds these threads, scores them by fit, and gives you the original source link plus response guidance when context is available.
Why this matters
Recommendation threads can move quickly. By the time you find them manually, the useful discussion may already have happened.
Drop a generic pitch in a recommendation thread and you get roasted publicly. The thread's audience can smell self-promotion in a sentence. You need the context before deciding whether to engage.
If you don't have time to read the context, you skip. IntentHunter gives you the source, context, score, and response guidance so the decision is faster.
What you get
We classify threads by type: 'recommendation request' gets its own filter and scoring weight because it is often one of the clearest intent signals.
IntentHunter can provide guidance when enough context is available. You decide what to do on the original platform. We never auto-post, DM, vote, or reply in-app.
Signals include the source and original post, so you can review the community context before taking any external action.
Filter by recommendation requests, review the highest-scored threads, and choose which ones are worth deeper review.
How it works
What you sell, who you sell to, your honest competitors.
One filter chip in the signals inbox. Now you see only this thread type.
Read the source context and response guidance, then decide what to do outside IntentHunter.
FAQ
Create a project, choose the sources your plan supports, and review scored signals as scans run.
