What problem does it solve? Expanding a small list of known-good customer companies into a large target account list normally requires manual research. This Skill queries DiscoLike's 65M+ business domain database to find hundreds of lookalike companies matching your seed domains or ICP description, outputting a ready-to-use CSV. ## Core Features & Use Cases - Seed-based lookalike search: Provide 3-10 seed domains (e.g., clay.com, apollo.io) and get back hundreds of similar companies with industry, headcount, location, and LinkedIn data. - Natural-language ICP search: Describe your ideal customer profile in text when you don't have named comparables, or combine both modes in a hybrid search. - Negation and filtering: Exclude your own domain, existing customers, and competitors, and filter by country to avoid wasted enrichment spend. - Use Case: A sales team with 5 best-fit customers runs a 100-company sample, validates ICP fit, then scales to 5,000 companies and chains the CSV into contact-finding and email enrichment tools. ## Quick Start Set the DISCOLIKE_API_KEY environment variable and ask the assistant to find 500 US companies similar to clay.com and apollo.io, saving the results to lookalikes.csv.
