Lead Research Assistant

This skill helps you identify and qualify potential leads for the business by analyzing the product/service, understanding the ideal customer profile, and providing actionable outreach strategies.

When to Use This Skill

• Finding potential customers or clients for the product/service
• Building a list of companies to reach out to for partnerships
• Identifying target accounts for sales outreach
• Researching companies that match the ideal customer profile
• Preparing for business development activities

What This Skill Does

1. Understands the Business: Analyzes the product/service, value proposition, and target market

2. Identifies Target Companies: Finds companies that match the ideal customer profile based on:

   • Industry and sector
   • Company size and location
   • Technology stack and tools they use
   • Growth stage and funding
   • Pain points the product solves

3. Prioritizes Leads: Ranks companies based on fit score and relevance

4. Provides Contact Strategies: Suggests how to approach each lead with personalized messaging

5. Enriches Data: Gathers relevant information about decision-makers and company context

How to Use

Basic Usage

Simply describe the product/service and what you're looking for:

I'm building [product description]. Find me 10 companies in [location/industry]
that would be good leads for this.

With the Codebase

For even better results, run this from the product's source code directory:

Look at what I'm building in this repository and identify the top 10 companies
in [location/industry] that would benefit from this product.

Advanced Usage

For more targeted research:

My product: [description]
Ideal customer profile:
- Industry: [industry]
- Company size: [size range]
- Location: [location]
- Current pain points: [pain points]
- Technologies they use: [tech stack]

Find me 20 qualified leads with contact strategies for each.

Instructions

When a user requests lead research:

1. Understand the Product/Service

• If in a code directory, analyze the codebase to understand the product
• Ask clarifying questions about the value proposition
• Identify key features and benefits
• Understand what problems it solves

2. Define Ideal Customer Profile

• Determine target industries and sectors
• Identify company size ranges
• Consider geographic preferences
• Understand relevant pain points
• Note any technology requirements

3. Research and Identify Leads

• Search for companies matching the criteria
• Look for signals of need (job postings, tech stack, recent news)
• Consider growth indicators (funding, expansion, hiring)
• Identify companies with complementary products/services
• Check for budget indicators

4. Prioritize and Score

• Create a fit score (1-10) for each lead
• Consider factors like:
• Alignment with ICP
• Signals of immediate need
• Budget availability
• Competitive landscape
• Timing indicators

5. Provide Actionable Output

For each lead, provide:

• Company Name and website
• Why They're a Good Fit: Specific reasons based on their business
• Priority Score: 1-10 with explanation
• Decision Maker: Role/title to target (e.g., "VP of Engineering")
• Contact Strategy: Personalized approach suggestions
• Value Proposition: How the product solves their specific problem
• Conversation Starters: Specific points to mention in outreach
• LinkedIn URL: If available, for easy connection

6. Format the Output

Present results in a clear, scannable format:

# Lead Research Results

## Summary

- Total leads found: [X]
- High priority (8-10): [X]
- Medium priority (5-7): [X]
- Average fit score: [X]

---

## Lead 1: [Company Name]

**Website**: [URL] **Priority Score**: [X/10] **Industry**: [Industry] **Size**:
[Employee count/revenue range]

**Why They're a Good Fit**: [2-3 specific reasons based on their business]

**Target Decision Maker**: [Role/Title] **LinkedIn**: [URL if available]

**Value Proposition for Them**: [Specific benefit for this company]

**Outreach Strategy**: [Personalized approach - mention specific pain points,
recent company news, or relevant context]

**Conversation Starters**:

- [Specific point 1]
- [Specific point 2]

---

[Repeat for each lead]

7. Offer Next Steps

• Suggest saving results to a CSV for CRM import
• Offer to draft personalized outreach messages
• Recommend prioritization based on timing
• Suggest follow-up research for top leads

Examples

Example 1: From Lenny's Newsletter

User: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."

Output: Creates a prioritized list of companies that:

• Use AI coding assistants (Copilot, Cursor, etc.)
• Handle sensitive data (fintech, healthcare, legal)
• Have evidence in their GitHub repos of using coding agents
• May have accidentally exposed sensitive data in code
• Includes LinkedIn URLs of relevant decision-makers

Example 2: Local Business

User: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."

Output: Identifies companies that:

• Recently posted remote job listings
• Announced remote-first policies
• Are hiring distributed teams
• Show signs of remote work challenges
• Provide personalized outreach strategies for each

Tips for Best Results

• Be specific about the product and its unique value
• Run from the codebase if applicable for automatic context
• Provide context about the ideal customer profile
• Specify constraints like industry, location, or company size
• Request follow-up research on promising leads for deeper insights

Related Use Cases

• Drafting personalized outreach emails after identifying leads
• Building a CRM-ready CSV of qualified prospects
• Researching specific companies in detail
• Analyzing competitor customer bases
• Identifying partnership opportunities

Sources

• Market Research and Competitive Analysis | U.S. SBA
• Statistics of U.S. Businesses (SUSB) | U.S. Census Bureau
• LinkedIn Sales Solutions
• Crunchbase