Examples Gallery - rmc0315/firecrawl-ollama-system GitHub Wiki

🖼️ Examples Gallery

Real analyses created by the Universal Firecrawl + Ollama system - showcasing the incredible possibilities!

🎯 Featured Examples

🏆 Analysis of the Week

OpenAI Competitive Analysis

  • 📊 View Interactive Report
  • 🌐 Website: openai.com
  • 🤖 Model: qwen3 (Deep Reasoning)
  • 📋 Task: "Analyze OpenAI's main products and competitive positioning"
  • ⭐ Highlights:
    • Market positioning analysis with charts
    • Product feature breakdown
    • Competitive advantage identification
    • Strategic recommendations

"This analysis helped me understand OpenAI's business strategy for my market research class!" - Community Member

📚 Example Categories

🏢 Business Analysis

Startup Research Example

Website: stripe.com
Model: phi4 (Comprehensive Analysis)
Task: "Analyze Stripe's business model, target market, and key value propositions"
Export: HTML with Interactive Charts
Time: 4.2 seconds

Key Insights Extracted:

  • Payment infrastructure platform targeting developers
  • Global payment processing with local payment methods
  • Developer-first API design philosophy
  • Comprehensive financial tools beyond basic payments

Why This Works: Comprehensive model provides deep strategic insights perfect for business research.

Competitor Comparison

Websites: shopify.com, woocommerce.com, bigcommerce.com
Model: qwen3 (Deep Reasoning)
Task: "Compare e-commerce platforms focusing on target market and pricing"
Export: PDF Report
Analysis Type: Competitive Analysis

Results:

  • Side-by-side feature comparison
  • Target market analysis for each platform
  • Pricing strategy insights
  • Market positioning recommendations

User Feedback: "Saved me hours of manual research for my client presentation!"

🎓 Academic Research

Literature Review Assistant

Website: arxiv.org/abs/2023.xxxxx (AI Safety Paper)
Model: qwen3 (Deep Reasoning)
Task: "Extract methodology, key findings, and implications for AI alignment research"
Export: Structured JSON Data

Extracted Information:

  • Research methodology and approach
  • Key findings and contributions
  • Implications for broader field
  • Future research directions
  • Citation-ready summaries

Academic Use: Perfect for systematic literature reviews and research summaries.

Conference Proceedings Analysis

Website: neurips.cc/Conferences/2024
Model: llama3.2 (Fast & Efficient)
Task: "Identify trending research topics and keynote themes"
Export: CSV for further analysis

Output: Structured data ready for academic analysis and trend identification.

💻 Technical Documentation

API Documentation Analysis

Website: docs.openai.com/api
Model: qwen2.5-coder (Code & Structured Data)
Task: "Extract available endpoints, parameters, and usage examples"
Export: JSON for integration planning

Perfect For:

  • Integration planning
  • API capability assessment
  • Technical documentation review
  • Development roadmap planning

Framework Comparison

Websites: react.dev, vuejs.org, angular.io
Model: phi4 (Comprehensive Analysis)
Task: "Compare JavaScript frameworks for enterprise development"
Export: HTML Report with Charts

Analysis Includes:

  • Learning curve comparison
  • Performance characteristics
  • Enterprise readiness assessment
  • Community and ecosystem analysis

📰 Content & Media Analysis

News Trend Analysis

Website: techcrunch.com
Model: qwen3 (Deep Reasoning)
Task: "Identify main themes in today's tech news and emerging trends"
Export: HTML with Charts
Update Frequency: Daily

Insights Generated:

  • Trending topics identification
  • Sentiment analysis of coverage
  • Key players and companies mentioned
  • Emerging technology patterns

Blog Content Strategy

Website: successful-competitor-blog.com
Model: llama3.2 (Fast & Efficient)
Task: "Analyze content themes, posting frequency, and engagement patterns"
Export: CSV for content planning

Strategic Outputs:

  • Content theme analysis
  • Posting pattern insights
  • Audience engagement indicators
  • Content strategy recommendations

🎨 Report Format Showcase

📊 Interactive HTML Reports

Best for: Presentations, stakeholder reviews, impressive demonstrations

Features:

  • Interactive charts and graphs
  • Professional styling and branding
  • Mobile-responsive design
  • Clickable navigation
  • Export-ready visualizations

Example: OpenAI Analysis with Charts

📋 PDF Reports

Best for: Formal documentation, client deliverables, academic submissions

Features:

  • Print-ready formatting
  • Professional layout
  • Consistent branding
  • Easy sharing and archiving
  • Citation-ready format

📊 CSV Data Exports

Best for: Further analysis, Excel integration, data processing

Features:

  • Structured data format
  • Excel/Google Sheets compatible
  • Easy filtering and sorting
  • Bulk data processing
  • Quantitative analysis ready

📁 JSON Data

Best for: API integration, programmatic processing, system integration

Features:

  • Machine-readable format
  • API integration ready
  • Structured and consistent
  • Easy parsing and processing
  • System integration friendly

🌟 Model Comparison Examples

Same Website, Different Models

Analysis Subject: anthropic.com

Task: "What is Anthropic's approach to AI safety?"

🚀 llama3.2 (Fast) Result:

"Anthropic focuses on AI safety research and develops Claude, an AI assistant designed to be helpful, harmless, and honest. They emphasize constitutional AI approaches."

Analysis Time: 2.1 seconds
Strength: Quick, clear summary

🧠 qwen3 (Reasoning) Result:

"Anthropic represents a paradigm shift in AI development, prioritizing safety through constitutional AI methodology. Their approach combines technical research with philosophical frameworks, focusing on AI alignment, interpretability, and robust safety measures. Claude embodies these principles through careful training methodologies that emphasize helpfulness while maintaining strong safety constraints."

Analysis Time: 4.7 seconds
Strength: Deep insights, contextual understanding

🏆 phi4 (Comprehensive) Result:

"Anthropic's approach to AI safety demonstrates sophisticated integration of technical innovation with ethical considerations. Their constitutional AI framework addresses fundamental challenges in AI alignment through: 1) Interpretability research for understanding model behavior, 2) Constitutional training methods that embed safety principles, 3) Red team testing for safety validation, 4) Collaborative research approach with academic and industry partners. This positions them uniquely in the competitive landscape against OpenAI and Google, with safety-first development philosophy creating differentiation in enterprise markets where trust and reliability are paramount."

Analysis Time: 6.3 seconds
Strength: Comprehensive analysis, strategic insights, competitive context

Takeaway: Different models excel at different analysis depths - choose based on your needs!

💡 Creative Use Cases

🎯 Unusual Applications

Recipe Website Analysis

Website: cooking-blog.com
Model: llama3.2
Task: "Identify cooking techniques, dietary preferences, and recipe complexity"
Result: Content strategy insights for food bloggers

Real Estate Market Analysis

Website: local-realtor.com
Model: qwen3
Task: "Extract market positioning, service offerings, and target demographics"
Result: Competitive intelligence for real estate professionals

Art Gallery Virtual Tour

Website: museum-online-collection.com
Model: phi4
Task: "Analyze art movements, featured artists, and exhibition themes"
Result: Cultural research and educational content

🚀 Power User Techniques

Multi-Stage Analysis Pipeline

  1. Stage 1: Quick overview with llama3.2
  2. Stage 2: Deep analysis with qwen3
  3. Stage 3: Structured extraction with qwen2.5-coder
  4. Stage 4: Comparative analysis with phi4

Result: Comprehensive, multi-perspective research report

Automated Monitoring Setup

  • Daily analysis of competitor pricing pages
  • Weekly trend analysis of industry news sites
  • Monthly deep-dive into key market players
  • Quarterly comprehensive competitive landscape review

🏆 Community Highlights

User Success Stories

📊 Market Research Consultant

"I use this system to analyze 20+ competitor websites weekly. The model comparison feature gives me multiple perspectives that I present to clients as comprehensive market intelligence. It's saved me 15+ hours per week!"

Setup: phi4 + qwen3 models, HTML reports with charts
Use Case: B2B competitive intelligence
ROI: 15 hours saved weekly

🎓 Graduate Student

"For my thesis on AI company strategies, I analyzed 50+ company websites with different models. The structured data extraction helped me build a comprehensive dataset for my research."

Setup: qwen2.5-coder + CSV exports
Use Case: Academic research data collection
Result: Published thesis with comprehensive industry analysis

💼 Content Marketing Manager

"I analyze successful content sites to understand what makes them work. The system helps me identify content patterns, themes, and strategies I can adapt for our brand."

Setup: llama3.2 for speed, PDF reports for sharing
Use Case: Content strategy development
Impact: 300% increase in content engagement

🎯 Tips for Great Results

📝 Writing Effective Analysis Tasks

✅ Specific and Actionable

Good: "Extract pricing tiers, features, and target market indicators"
Good: "Identify main value propositions and competitive differentiation"
Good: "Analyze content themes and posting patterns for strategy insights"

❌ Too Vague or Broad

Poor: "Tell me about this website"
Poor: "Is this company good?"
Poor: "Analyze everything"

🤖 Model Selection Strategy

For Speed: llama3.2

  • Quick summaries
  • Basic information extraction
  • High-volume analysis
  • Initial website screening

For Depth: qwen3

  • Strategic analysis
  • Complex reasoning
  • Detailed insights
  • Research applications

For Structure: qwen2.5-coder

  • Data extraction
  • Technical documentation
  • Structured outputs
  • API integration

For Completeness: phi4

  • Comprehensive reports
  • Multi-faceted analysis
  • Executive summaries
  • Complex research

📤 Submit Your Examples

Share Your Amazing Results!

We'd love to feature your analyses in this gallery!

How to Submit:

  1. Create your analysis using the system
  2. Export as HTML or PDF for best presentation
  3. Open a GitHub Discussion with the "Show and Tell" category
  4. Include:
    • Website analyzed
    • Model used
    • Analysis task/prompt
    • Why it's interesting/useful
    • Screenshot or report file

What We're Looking For:

  • Creative use cases - Unique applications
  • Professional results - Business or academic use
  • Technical innovations - Advanced workflows
  • Educational examples - Great for learning
  • Beautiful reports - Impressive visualizations

Recognition:

  • Featured in Examples Gallery
  • Social media highlights
  • Community recognition
  • Inspiration for others

🔗 Related Resources

Wiki Pages

External Links

Inspired by these examples? Download the system and create your own amazing analyses! 🚀

This gallery is maintained by the community. Your contributions help showcase the incredible potential of local AI-powered web analysis!