disco-like

Name: disco-like
Availability: InStock
Author: growthenginenowoslawski

Identify lookalike companies from seed domains or ICP text and output CSV lists.

601|215|Updated Mar 10, 2026

Search Tags:#csv #domain-discovery #icp #list-building #lookalike #outbound-sales #seed-domains

Ready to run

npx skills add https://github.com/growthenginenowoslawski/coldoutboundskills --skill disco-like

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: disco-like
Source: https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/disco-like
Command: npx skills add https://github.com/growthenginenowoslawski/coldoutboundskills --skill disco-like

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

DiscoLike surfaces hundreds of lookalike companies based on seed domains or ICP text to scale ICP outreach without manual prospecting.

Core Features & Use Cases

Seed-domain lookalikes or natural-language ICP matching
Supports negation domains to exclude competitors/existing customers
Outputs CSV-ready lists for Blitz-list-builder or email workflows
Use case: Expand a small seed list into a larger, high-potential target set for outbound campaigns

Quick Start

Provide 3–10 seed domains and run the discovery script to generate a CSV of lookalike companies for blitz-list-building.

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 for ICP expansion from a list of seed domains?▼

You can find lookalike companies by providing 3–10 seed domains to generate hundreds of matching targets. The tool outputs domain-level data including company name, industry, headcount, location, and LinkedIn for outbound sales.

Can I use natural-language ICP text instead of seed domains for domain discovery?▼

Yes, domain discovery accepts natural-language ICP text as an alternative to seed domains. The tool processes your text input to identify and return hundreds of lookalike companies matching your specified ideal customer profile.

How do I exclude existing customers or competitors when building a lookalike list?▼

You can exclude existing customers or competitors by using the negation domains feature. This filters out specified domains from your lookalike list, ensuring your outbound sales targeting focuses only on new, high-potential prospects.

What's the best way to export lookalike company data for outbound sales workflows?▼

The best way to export lookalike company data is by generating the CSV payload. This format feeds directly into downstream tools like Blitz-list-builder or email workflows, streamlining your ICP list-building pipeline.

Can I filter lookalike company search results by country?▼

Yes, you can filter lookalike company search results by country. This allows you to narrow down the hundreds of discovered domains to match specific geographic criteria for your outbound sales campaigns.

What data fields are included in the CSV output for lookalike list building?▼

The CSV output for lookalike list building includes domain-level data such as company name, industry, headcount range, location, and LinkedIn. These fields provide comprehensive details for your outbound sales targeting.