Some ideal customer profiles are too niche to describe with keyword filters, and that is exactly where Discolike earns its place for us. It is a B2B account-discovery tool that takes a natural-language description of your ICP, or a few sample domains, and returns ranked lookalike companies from a database of more than 60 million businesses. Instead of leaning mostly on LinkedIn, it analyzes full website data, language patterns, tech stacks, and digital footprints. That sharpens matching for hard-to-describe profiles, and credits are spent on the new company records returned, not on the number of searches you run. In a GTM stack Discolike sits at the very top of the funnel as the account-discovery and TAM-mapping layer that feeds enrichment, contact-finding, and outreach downstream. It answers who to target, not how to reach them. At Nebor we feed our client's top closed-won accounts into Discolike to find companies that look like them on dimensions standard databases miss, then map niche TAMs that ordinary filters skip entirely. We push the ranked output straight into a Clay table. There the companies get enriched, contacts found and verified, and the whole list routed into the outbound engine. For specialized ICPs its web-based matching often beats the LinkedIn-first tools outright.