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
)

2. Categorize by Focus

For each startup:
  get_yc_company(company)

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

3. Analyze Patterns

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

4. 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

5. 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
)

2. Get Financial Data

For each company:
  sec_document(document_url)

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

3. Analyze Strategy

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

4. Track Changes

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

5. 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

2. 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

3. Community Sentiment

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

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

4. Professional Discussion

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

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

5. 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

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