— name: lead-research-assistant description: Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals. — # Lead Research Assistant This skill helps you identify and qualify potential leads for your business by analyzing your product/service, understanding your ideal customer profile, and providing actionable outreach strategies. ## When to Use This Skill – Finding potential customers or clients for your product/service – Building a list of companies to reach out to for partnerships – Identifying target accounts for sales outreach – Researching companies that match your ideal customer profile – Preparing for business development activities ## What This Skill Does 1. **Understands Your Business**: Analyzes your product/service, value proposition, and target market 2. **Identifies Target Companies**: Finds companies that match your ideal customer profile based on: – Industry and sector – Company size and location – Technology stack and tools they use – Growth stage and funding – Pain points your 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 your 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 Your Codebase For even better results, run this from your 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 your 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: “`markdown # 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 – Provides personalized outreach strategies for each ## Tips for Best Results – **Be specific** about your product and its unique value – **Run from your codebase** if applicable for automatic context – **Provide context** about your 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