Cold lists tell you who could buy. Signals tell you who is buying now. Matched signals land on your leads as chips, with source evidence when available, and feed a fit-and-intent score that decays as signals age.
A person's job just changed, so did their priorities.
A prospect recently started a new position. New arrivals rethink tooling in their first 90 days, the best window to be useful.
Someone you already talked to moved companies. The warmest signal in outbound: an existing relationship plus a fresh budget.
The prospect is actively publishing on LinkedIn, reachable, engaged, and likely to see your message.
They raised their hand in public, Hilead was watching.
Someone commented on a company page you watch. You get the lead AND their exact words, the strongest opener there is.
They wrote about a topic you track (say, cold outreach). An AI filter keeps genuine practitioners and screens out vendors.
A lighter touch than a comment, at ten times the volume, scored lower, but a real sign of attention.
Job boards are public roadmaps, Hilead reads them daily.
Several new roles opened at once, growth mode, new budgets, new problems to solve. Detected overall and per department.
A VP, Head-of or C-level posting appeared: the company is hiring a decision-maker for exactly the function you sell into.
That leadership posting just closed, a new executive is starting, with a mandate and a stack to build. Their first 90 days are your window.
How many positions a company currently has open, sustained hiring pressure, visible at a glance on every lead.
Fresh capital means fresh spending.
A funding round detected from official SEC filings, with the real amount, not a rumor, a document.
The company closed a round in the last six months and is still in deployment mode: hiring fast, buying fast.
They just acquired, or got acquired. Integration windows re-open every tooling decision: two stacks, one survivor, and a natural opener.
Companies in motion buy differently.
Employee count grew meaningfully since the last snapshot, scaling teams outgrow their tools.
They started hiring in a city they never hired in before. New market, new operations, new needs.
Sustained growth pattern across the company's public footprint.
Launches, headlines, and the tools they run.
They just launched on Product Hunt, peak momentum, peak openness to conversations.
Real press coverage, verified by AI so a company named after a common word never matches someone else's headline.
A new tool appeared on their website, evidence from the actual scripts they load, not from marketing copy.
A public, observable event suggesting a company or person is entering a buying window: a funding round, a hiring surge, a new executive, a job change, or someone engaging with relevant topics on LinkedIn. Signals answer the question cold lists can't: why contact them now?
Refresh cadence depends on the source: fast-moving engagement and job-board sources are checked daily by default, while slower-moving sources such as funding, technology and broader hiring data may be revisited less often. Every signal shows its age, and intent points decay with time until stale events stop contributing.
Public, verifiable sources: LinkedIn activity, company job boards, official SEC filings, company websites, Product Hunt, and news coverage. Two AI judges filter the ambiguous cases, one keeps vendors out of your engagement leads, one verifies press is really about the company.
Every lead gets a 0-100 score combining fit (how well they match your ICP) and intent (how recently they showed a signal, with time decay). Hover any score in Hilead to see exactly which signals contributed and why.
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