traxy starts from a simple premise: the people most likely to buy are usually already talking about your problem in public. Instead of scraping a static list of titles and companies, you tell traxy who you are after, and its Discovery Agent scans LinkedIn engagement across your market every hour — posts, comments and reactions — then checks who actually fits your ideal customer profile and evaluates the strength of the signal behind each person. You can also add competitors, creators and industry voices to a tracking watchlist so new leads surface out of the conversations happening around them.
The output is a ranked list rather than a raw export. Every lead carries an ICP match score, the signal that surfaced them and the specific post behind it, and filters let you slice that list into segments worth working. From there, trax, the built-in agent, handles the follow-through: you ask for what you need in plain language, and it finds the right people, works the list and drafts the outreach. Campaigns use multi-step sequences across LinkedIn connection requests, DMs and InMail with matching email, opening on the signal the prospect engaged with so the first line has a reason to exist.
Because the qualification work happens before outreach, teams report fewer but better meetings. Leads can be routed onward to a CRM, an outreach tool or Slack with the originating signal attached, or pulled directly inside Claude, ChatGPT and Cursor through traxy's MCP integration, which keeps the workflow inside whatever workspace the team already uses. The platform is used by 1,000+ B2B teams and carries a 5.0 rating on G2, with case studies citing 10 to 20 qualified meetings per month and six-figure pipelines identified in weeks. Pricing is available after a 7-day free trial, and larger agency and enterprise arrangements are quoted on request.
