anysite Market Research

Comprehensive market research using Y Combinator, SEC, social media, and web data through anysite MCP. Analyze tech markets, research startups, and study competitive landscapes.

Overview

• •Research startup ecosystems via Y Combinator data
• •Analyze public companies through SEC filings
• •Gather market intelligence from social platforms
• •Study industry trends across communities
• •Identify market opportunities through data analysis

Coverage: 70% - Excellent for tech/startup markets; pivoted from local business to tech focus

Supported Platforms

• •✅ Y Combinator: Startup research, batch analysis, founder discovery, funding data
• •✅ SEC: Public company filings, financial data, disclosures
• •✅ Reddit: Market sentiment, community insights, product discussions
• •✅ LinkedIn: Industry trends, company intelligence, professional discussions
• •✅ Twitter/X: Market pulse, news, influencer opinions
• •✅ Web Scraping: Company websites, industry reports, market data

Quick Start

Step 1: Define Research Scope

Choose focus:

• •Startup ecosystem: search_yc_companies
• •Public companies: sec_search_companies
• •Industry sentiment: search_reddit_posts, search_twitter_posts
• •Company intelligence: search_linkedin_companies

Step 2: Gather Data

Execute searches:

# Startup research
search_yc_companies(industries=["fintech"], batches=["W24", "S23"])

# Public company research
sec_search_companies(entity_name="tech company", forms=["10-K"])

# Market sentiment
search_reddit_posts(query="fintech trends", count=100)

Step 3: Analyze Results

Extract insights:

• •Market size indicators
• •Competitive landscape
• •Technology trends
• •Consumer sentiment
• •Funding patterns

Step 4: Synthesize Findings

Deliver:

• •Market opportunity assessment
• •Competitive analysis
• •Trend identification
• •Strategic recommendations

Common Workflows

Workflow 1: Startup Ecosystem Analysis

Scenario: Analyze fintech startup landscape

Steps:

1. •Find Startups

search_yc_companies(
  industries=["fintech"],
  batches=["W24", "S23", "W23", "S22"],
  count=100
)

1. •Categorize by Focus

For each startup:
  get_yc_company(company)

Group by:
- Payments
- Lending
- Investment/Trading
- Banking
- Insurance
- B2B fintech tools

1. •Analyze Patterns

Identify:
- Hot subcategories (most startups)
- Team size distribution
- Geographic concentration
- Common tech stacks (from job postings)

1. •Research Traction

For promising startups:
  search_linkedin_companies(keywords=startup_name)
  → Check employee growth

  search_twitter_posts(query=startup_name)
  → Check social presence and buzz

  parse_webpage(startup_website)
  → Check positioning and features

1. •Identify White Spaces

Compare:
- Overcrowded categories
- Underserved segments
- Emerging opportunities
- Geographic gaps

Expected Output:

• •50-100 startup landscape map
• •Category distribution
• •Funding trends
• •Market gaps identified
• •Competitive intensity by segment

Workflow 2: Public Company Competitive Analysis

Scenario: Research public competitors in cloud infrastructure

Steps:

1. •Find Companies

sec_search_companies(
  entity_name="cloud",
  forms=["10-K", "10-Q"],
  count=50
)

1. •Get Financial Data

For each company:
  sec_document(document_url)

Extract:
- Revenue and growth
- Operating margins
- R&D spending
- Geographic breakdown
- Risk factors mentioned

1. •Analyze Strategy

From 10-K filings:
- Business model
- Target markets
- Competitive advantages
- Growth initiatives
- Challenges and risks

1. •Track Changes

Compare year-over-year:
- Revenue growth trends
- Market focus shifts
- New initiatives
- Risk factor changes

1. •Supplement with Social Intel

search_linkedin_companies(keywords=company_name)
→ Employee count, hiring patterns

get_linkedin_company_posts(urn)
→ Strategic messaging

search_reddit_posts(query=company_name)
→ Customer sentiment

Expected Output:

• •Competitive landscape map
• •Financial benchmarks
• •Strategic positioning
• •Growth trajectories
• •Market opportunities

Workflow 3: Industry Trend Analysis

Scenario: Understand AI/ML market evolution

Steps:

1. •YC Startup Trends

search_yc_companies(
  query="AI OR machine learning OR artificial intelligence",
  count=200
)

Group by batch to see:
- Trend over time
- Focus area shifts
- Team size changes

1. •Public Market Signals

sec_search_companies(
  entity_name="artificial intelligence",
  count=50
)

Check 10-K mentions of:
- "AI" or "machine learning" frequency
- AI-related investments
- AI revenue segments

1. •Community Sentiment

search_reddit_posts(
  query="AI trends 2026",
  count=100
)

Analyze for:
- Excitement vs. concern
- Adoption barriers
- Use case validation
- Technology maturity

1. •Professional Discussion

search_linkedin_posts(
  keywords="artificial intelligence",
  count=50
)

Check:
- Industry adoption
- Job market signals
- Skill requirements
- Thought leader opinions

1. •Web Intelligence

For key AI companies:
  parse_webpage(website + "/blog")
→ Technology updates, product launches

get_sitemap(website)
→ Content focus areas

Expected Output:

• •Market evolution timeline
• •Technology adoption curves
• •Sentiment analysis
• •Opportunity identification
• •Risk assessment

MCP Tools Reference

Y Combinator Research

• •search_yc_companies - Find startups by industry, batch, filters
• •get_yc_company - Get detailed company profile
• •search_yc_founders - Research founders

SEC Research

• •sec_search_companies - Find public companies and filings
• •sec_document - Get full document content

Social Intelligence

• •search_reddit_posts - Community insights and sentiment
• •search_twitter_posts - Real-time market pulse
• •search_linkedin_posts - Professional trends

Company Intelligence

• •search_linkedin_companies - Find companies
• •get_linkedin_company - Company details
• •parse_webpage - Extract website data

Market Discovery

• •duckduckgo_search - General web research
• •get_sitemap - Comprehensive website analysis

Market Analysis Frameworks

TAM/SAM/SOM Analysis:

Total Addressable Market (TAM):
- Count YC companies in category × avg market size
- SEC filing market size mentions
- Industry reports (web scraping)

Serviceable Addressable Market (SAM):
- Filter by geography, segment
- LinkedIn company search by ICP
- YC companies by batch/stage

Serviceable Obtainable Market (SOM):
- Realistic capture based on competition
- Competitive analysis via LinkedIn/social
- Market share indicators

Porter's Five Forces:

Using anysite data:

1. Competitive Rivalry:
   - YC startups in space
   - LinkedIn company counts
   - Social mention volume

2. Threat of New Entrants:
   - Recent YC batches
   - Funding announcements
   - Talent movement (LinkedIn)

3. Supplier Power:
   - Technology dependencies
   - Integration partners

4. Buyer Power:
   - Customer reviews (Reddit)
   - Pricing transparency
   - Switching costs mentioned

5. Threat of Substitutes:
   - Alternative solutions
   - Adjacent markets

Output Formats

Chat Summary:

• •Key market insights
• •Competitive landscape summary
• •Opportunity identification
• •Strategic recommendations

CSV Export:

• •Company list with metrics
• •Market segmentation data
• •Trend indicators

JSON Export:

• •Complete research data
• •Time-series analysis
• •Cross-platform correlations

Reference Documentation

• •RESEARCH_METHODS.md - Market research methodologies, analysis frameworks, and data synthesis techniques

Ready for market research? Ask Claude to help you analyze markets, research startups, or study competitive landscapes using this skill!