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disco-like

Find lookalike companies via the DiscoLike API using seed domains or ICP text.

Updated May 28, 2025
Search Tags:#lead generation#prospecting#icp#b2b sales#domain discovery#lookalike companies#discolike
One-click install
npx skills add https://github.com/meloShaya/insteltech --skill disco-like-meloshaya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: disco-like
Source: https://github.com/meloShaya/insteltech/tree/main/crm/library/skills/disco-like
Command: npx skills add https://github.com/meloShaya/insteltech --skill disco-like-meloshaya

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

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 return hundreds of similar companies as a CSV, ready for downstream contact-finding and email enrichment. ## Core Features & Use Cases - Seed-domain lookalike search: Provide 3-10 domains of companies you like and get back companies with similar industry, headcount, and business characteristics. - Natural-language ICP search: Describe your ideal customer profile in text when you don't have named comparables, or combine both modes. - Negation and country filtering: Exclude your own domain, existing customers, and competitors, and restrict results by country. - Cost pre-check: A count script estimates universe size before you pay per record. - Use Case: You have five best customers (e.g., clay.com, apollo.io). Run a 100-company sample, qualify the fit, then scale to 5,000 domains and hand the CSV to a list builder to find decision-makers. ## Quick Start Set the DISCOLIKE_API_KEY environment variable and ask the assistant to find 100 companies similar to clay.com and apollo.io in the US, saving results to lookalikes.csv.

Frequently Asked Questions about disco-like

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find lookalike companies from a list of customer domains?▼

Run the discover script with --domains set to 3-10 comma-separated seed domains, plus optional --country and --limit flags. DiscoLike returns companies with similar industry, headcount, and business characteristics, written to a CSV file.

How do I exclude competitors or existing customers from lookalike search results?▼

Pass the --negation-domains flag with a comma-separated list of domains to exclude, such as your own company, current customers, and known competitors. This avoids paying for records you would discard anyway.

Does DiscoLike return contact information for people at companies?▼

No, DiscoLike is company-level only. It returns domains, names, industries, headcount ranges, locations, and LinkedIn company URLs. You must chain the output with a contact finder like Prospeo or a list builder to get people.

How much does a DiscoLike company discovery cost?▼

DiscoLike charges $0.10 per API call plus $2.00 per 1,000 records returned. A 500-company discovery costs roughly $1.50, and a 10,000-company pull costs about $30. Run the count endpoint first to check universe size.

Why does my lookalike search return poor-fit companies?▼

Result quality depends entirely on seed domains. If fewer than 40% of a 50-company sample fit your ICP, change the seeds rather than scaling. Text-only mode is also broader than seed-based search, so combine both for precision.

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