Use case
IntentHunter gives founders a lightweight way to watch public competitor conversations (complaints, switching reasons, pricing reactions) and use that signal to sharpen positioning, prioritize product questions, and find conversations worth replying.
Why this matters
Complaint threads can move quickly. If you only check manually, you may miss them or arrive after the useful discussion has already happened.
Keyword alerts can catch every competitor mention, including passing references. You need classification and scoring, not raw volume.
A complaint thread can reveal a real switching moment, but it can also be venting. You need the source context before deciding what to do.
What you get
We distinguish 'this is annoying' venting from 'I'm actively switching.' The score reflects switch likelihood, not just sentiment.
Add each competitor with custom keywords (product names, common typos, founder handles). Each gets its own filterable feed.
Response guidance can help frame the issue without competitor bashing. You decide what to do outside IntentHunter.
Filter signals by competitor to look for patterns that may inform positioning and product decisions.
How it works
Names, product names, common synonyms.
On a regular scan cadence, classified by severity and switch likelihood.
Use response guidance as a starting point for understanding the pain, not as an auto-generated message.
FAQ
Create a project, choose the sources your plan supports, and review scored signals as scans run.
