InreachFind people already talking about the problem you solve.
Paste your website. Inreach maps the operational pain your future customers are publicly describing — and shows you the moments to act, weeks before they search for a vendor.
X / Twitter
LinkedIn- matched pain · paid attribution
- explicit budget mention
- vendor cap stated · open window
- ICP match · growth ops · SaaS
The market is talking.
Most teams aren't listening correctly.
This is what live
buying intent looks like.
Real-shape public posts from this week. Each one is operational pain — not a keyword match, not a brand mention. Each represents a buying window that opened today.
Real teams are
already listening.
Why most GTM teams
miss live demand.
The existing stack wasn't built for this. Social listening was built for brand monitoring. Sales intelligence was built for cold lists. Intent data was built for late-funnel scoring. None of them watch for pain — the earliest, highest-signal layer of the buying process.
- ×Keyword alerts return brand mentions — not the pain that precedes intent.
- ×Saved searches scale to 5 queries on a Monday morning, not 50 categories.
- ×Social listening tools track share-of-voice, not operational reality.
- ×Intent platforms wait until someone visits a vendor page — weeks too late.
- ×By the time it's in your CRM, the buying window is already closing.
- ✓Eleven pain-category detection models running on every public post in real time.
- ✓Matched against your product context — not a brand string or domain match.
- ✓Scored by urgency, specificity, and stated timeline — not reach or sentiment.
- ✓Each signal surfaces the conversation, the context, and who should engage.
- ✓Live operational demand visible in the window where you can actually act.
From a public post
to a signal in your feed — in under 90 seconds.
Four stages, end to end. Nothing batched, nothing scheduled. The feed goes live the moment your workspace exists.
The pain shape is different
in every vertical.
Inreach keeps a category map per vertical — the patterns operators use, the metrics they reference, the language they fall into when something breaks. Pick one to see what we'd surface for you this week.
Audit every signal.
No black-box claims.
Every signal carries provenance — the original post, the matched pattern, the confidence score, the latency. You can see why each decision was made the same way you'd audit a production system.
What you do with a signal
is up to your team.
Inreach is observability first. Workflows are intentionally light — routing, digests, saved views, optional drafts. The platform never sends anything on your behalf. That decision belongs to a human.
Listens where buyers vent.
Pushes where your team works.
Detect operational pain across the public conversations operators are already having — and route the high-signal moments straight into the tools your team already uses.
Persistent agents
continuously uncovering market pain.
Each plan is a number of agents quietly running in the background — watching for the operational pain your future customers are publicly describing. Start with one, grow into a full intelligence layer.
- ✓Opportunity feed with full context
- ✓Daily digest to Slack or email
- ✓Save and tag opportunities
- ✓Single user
- ✓Saved opportunity views + tagging
- ✓Daily Slack digest
- ✓Export to Notion
- ✓30-day opportunity history
- ✓Solo operator workflow
- ✓Shared team workspace
- ✓Custom pain themes per agent
- ✓HubSpot routing
- ✓Priority discovery queue
- ✓Up to 5 seats
- ✓Advanced routing rules + filters
- ✓Historical opportunity archive
- ✓API access
- ✓Multi-workspace support
- ✓Priority processing
- ✓Up to 15 seats
- Dedicated processing infrastructure
- Custom agent limits + refresh cadence
- Custom integrations + private sources
- White-glove onboarding + setup
- Direct line to our team
Questions operators
actually ask.
Is this social listening?+
No. Social listening tools surface keyword mentions and brand sentiment. Inreach detects operational pain — the moment someone describes a workflow that broke, a tool they've outgrown, or a metric heading the wrong way. Pain shows up weeks before any vendor search.
How is this different from outbound automation tools?+
Outbound tools send messages to lists. Inreach is the opposite — it tells you which conversations are already happening, why they matter, and when the buying window opens. Inreach never sends anything on your behalf.
What signals does it detect?+
Eleven categories today: attribution chaos, CRM bloat, tool switching, hiring pain, support overload, revenue leakage, workflow breakage, vendor evaluation, churn signals, paid-channel decay, and explicit buying intent. Each has its own detection model.
Where does the data come from?+
Public conversations on X and LinkedIn. Reddit and Hacker News are in beta. Only public posts — no DMs, no scraped emails, no off-platform data.
How real-time is it?+
Median signal-to-feed latency is under 90 seconds for X and under 5 minutes for LinkedIn. Detection runs on every relevant post as it's published — not on a batch schedule.
Does Inreach reply or message anyone?+
No. Read-only by default. You can optionally draft a contextual reply inside Inreach and approve-then-post manually. We never send anything without explicit per-message approval. No bulk reply workflows exist.
How accurate is the detection?+
On our internal benchmark — 18,000 operator-labelled signals across 11 categories — precision is 91% and recall is 84%. Every signal shows the matched pain pattern and a confidence score, so you can audit it.
What does this replace?+
TweetDeck/saved searches, manual social monitoring spreadsheets, Slack channels piped from keyword alerts, and the 'check what people are saying' hour every Monday morning.
People are publicly describing the exact problem your product solves. Right now, you're missing those conversations.
Drop your URL. In under five minutes, Inreach maps the operational pain your future customers are publicly talking about — and turns your workspace into a live demand intelligence feed.