Getting Started

Simply tell the AI what you’re looking for:

Find VP of Sales at SaaS companies in California with 200-500 employees

The AI will:

Example 1: Finding Decision Makers

Find CTOs at fintech companies in New York that raised funding in the last 90 days

What happens:

AI identifies entity type: prospects
Filters: job_title (CTO), linkedin_category (fintech), location (New York), events (funding)
Returns sample with estimated export cost
Waits for your approval to export

Example 2: Finding Companies

Show me SaaS companies with 50-200 employees using Salesforce in their tech stack

What happens:

Use Cases

Scenario: Find decision-makers at high-growth companies

Find VPs of Engineering at companies that increased their engineering department in the last 60 days

Why it works: Combines role targeting with hiring signals to identify companies actively scaling their teams.

Scenario: Analyze market segments

Get me statistics on healthcare software companies in the US with 100-1000 employees, 
broken down by revenue range

Why it works: Uses the statistics endpoint to provide market insights without consuming credits on individual records.

Scenario: Reach companies during key moments

Find marketing directors at companies that just opened new offices in the last 30 days

Why it works: Targets prospects during organizational changes when they’re more likely to need new solutions.

Scenario: Find new contacts at existing customers

I have a list of 50 companies. Find all C-level executives in the sales and marketing 
departments at these companies.

Why it works: Upload your customer list to the Hub, then use it as a reference to find additional decision-makers.

Scenario: Monitor competitor customers

Find companies using [Competitor Product] with 500+ employees in the enterprise software space

Why it works: Identifies prospects using competitor technology who might be open to switching.