Discolike Reviews & Product Details

DiscoLike is a search engine over the business web. Google indexes webpages and returns webpages; DiscoLike indexes 80M+ business websites and returns companies, plus the right people at those companies. Describe an ideal customer in plain language and get every matching company from DiscoLike's own index, covering 98%+ of the market in 55 languages and roughly 3x the company coverage of LinkedIn-dependent databases. Three combinable ways to search: lookalike from seed domains, natural language ICP description, and exact phrase matching against homepage text. Contact search then surfaces the right people at those companies with email, phone, LinkedIn URL, seniority, department, and skills. This is the opposite of LinkedIn-derived tools. Apollo, ZoomInfo, Cognism, and Lusha start from contact records and back into companies, so you are searching self-reported taxonomy. DiscoLike starts from the open web, using custom LLMs trained on actual website content to match companies by what they do. Coverage is typically strongest exactly where LinkedIn-derived tools are weakest: EMEA, APAC, and niche verticals. Also included: technology and vendor detection across 80M+ domains, corporate hierarchy mapping, company name-to-domain matching, digital footprint scoring and growth metrics, ML-powered ICP segmentation, and exclusion lists of up to 250K company domains and 500K contacts on every plan. Five ways in, one engine: - MCP server for AI coding assistants such as Claude Code, Cursor, VS Code, and Windsurf, used by over half of active users - REST API plus Python SDK and CLI, for Clay, N8N, Zapier, and product integrations - Native HubSpot, Salesforce, and Pipedrive connectors that push discovered companies and contacts straight into the CRM - Web app for point-and-click TAM building - Nine bulk flat-file datasets delivered daily, weekly, or monthly, including direct to S3 Plans run from $99/mo to $1,599/mo and all include the full feature set, differing only in usage rates, included record volume, API throughput, and support. Every subscription dollar goes toward credits: each search costs a query fee plus a fee per 1,000 new records, and a record already retrieved in the last 90 days is free.