Market intelligence used to mean quarterly reports and analyst calls. Now it is continuous — if you have agents configured with your product context, pain themes, and ICP. Inreach is the workspace to create, run, and act on those agents without building scrapers in-house.
Engineering builds one-off scrapers. RevOps maintains keyword lists. Founders keep private TweetDeck columns. None of it scales across pain themes, platforms, or teammates — and classification still happens manually in Slack.
Generic AI chat tools can summarize the internet but do not run on a schedule, score fit for your ICP, or keep an audit trail of what your team approved and posted.
X
“Is anyone else's NRR model broken after the pricing change? Board wants answers we can't produce.”
Finance + GTM intelligence pain — expansion and analytics categories.
“We need agents that monitor competitor launches and customer complaints — not another BI dashboard.”
Meta demand for agent-based monitoring — validates category language.
X
“Spent Sunday in TweetDeck again. There has to be a better way to watch our space.”
Workflow replacement intent — direct fit for Inreach positioning.
Agent limits depend on your plan. Many teams start with one product-wide agent, then add agents per vertical, competitor, or region.
You refine pain themes and agent configuration based on which opportunities you act on. The system prioritizes patterns aligned to your product context and filters.
Primary input is public social conversation plus your website/onboarding context. They do not ingest private CRM data unless you connect integrations for workflow handoff.
Human approval is required before posting. Agents suggest; your team decides what goes out under your accounts.
Paste your website URL. Inreach infers your ICP and pain themes, then starts scanning X and LinkedIn for conversations worth joining — with human approval before every reply.
Inreach