Capability 03

Signal Graph. Resolve public noise into account-level motion.

Signal Graph watches the public market continuously, collects relevant motion across sources, links those fragments to the same company, and ranks the resulting account by timing, fit, and urgency.

Alerts alone are not enough. What matters is whether multiple signals point to the same account and whether the pattern means a buyer is actually moving.

Deploy the graphSee briefs output
Cluster discussions, reviews, jobs, and complaints into one account view.
Suppress duplicate chatter before it floods the queue.
Make timing visible while the account still feels early.
Live signal state

A graph that tells you when scattered evidence becomes real motion.

The system keeps collecting, resolving, and rescoring so operators see account momentum instead of isolated events.

Signals clustered
6.4k

Fragments grouped into account narratives rather than left as a stream of disconnected mentions.

Accounts in motion
284

Companies currently carrying enough evidence to justify active monitoring or operator action.

Noise suppressed
71%

Duplicate, weak, or context-poor signals removed before they can waste operator time.

Freshness window
24h

Priority queue kept live so stale evidence does not masquerade as current buying pressure.

Signal Graph matters because timing decays. If the account view is not continuously resolved, you end up acting on old motion with false confidence.
What it watches

Real signal starts in messy places.

The graph is valuable because it can pull from very different kinds of public evidence without flattening them into the same meaningless keyword alert.

Sources

Communities and threads

Public questions, operator complaints, peer recommendations, and product comparisons where buyers reveal the pressure they are under.

Sources

Reviews and product pain

Switching language, implementation issues, adoption complaints, and workflow failures that expose where dissatisfaction is turning active.

Sources

Hiring and operational change

New roles, tooling mandates, or process rebuilds that often signal budget movement before a formal buying process becomes visible.

How it resolves

The graph links evidence to companies, then judges the pattern.

Without resolution, alerting becomes noise. The graph tries to answer the harder question: are these fragments all pointing at the same account and the same likely buying motion?

Resolution

Entity linking

Tie posts, reviews, job changes, and adjacent mentions back to the likely company so the operator can think in accounts instead of isolated URLs.

Resolution

Confidence weighting

Not every source should count equally. The graph weighs freshness, explicitness, fit, and source credibility before it elevates an account.

Resolution

False-positive defense

Weak mentions, duplicate chatter, or contextless keyword hits are pushed down so the queue stays sparse enough to trust.

How teams use it

The graph creates a queue the team can actually work.

Signal Graph is not a monitoring vanity screen. It becomes the input layer for operator briefs, founder reviews, and account prioritization across the team.

Outcome

Queue ordering

Accounts rise or fall in priority as new evidence arrives, keeping the team focused on timing instead of static lists.

Outcome

Evidence review

Operators can inspect the exact source pattern behind a score instead of being asked to trust a black-box number.

Outcome

Continuous watch

Strategic accounts stay monitored even when the team is not actively working them, so new motion is caught early rather than rediscovered late.

Next move

If every signal is still an alert, you are missing the account story.

Use the graph to turn scattered public motion into a ranked account queue your team can trust and act on.

Activate the graphSee team workflow