Summary
A developer created an automated workflow using n8n, Wappalyzer API, and Claude AI to scan websites and identify their tech stacks. The system automatically organizes data into categories and exports to Google Sheets, saving 20+ hours weekly previously spent on manual research. While some commenters noted existing alternatives like BuiltWith.com and Wappalyzer extensions, others appreciated the automation approach and integration with modern tools.
Opinion
Mainstream opinion recognizes the value in automating repetitive research tasks, with many users appreciating the time-saving aspect. However, significant debate exists regarding:
1. Novelty: Multiple commenters point out this functionality has existed for 15+ years (BuiltWith.com, Wappalyzer extension)
2. AI Necessity: Skepticism about using Claude for JSON parsing when structured data exists
3. Accuracy Concerns: Potential AI hallucinations affecting data reliability
4. Marketing Motives: Accusations of disguised advertising for Wappalyzer/n8n
Supporters argue modern accessibility and workflow integration justify the approach, while critics view it as redundant.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| n8n | https://n8n.io | Workflow Automation | Visual workflow builder, Google Sheets integration |
| Wappalyzer API | https://www.wappalyzer.com | Technology Detection | Catalogues web technologies, returns JSON data |
| Claude | https://anthropic.com/claude | AI Processing | Data organization via custom prompts |
| Google Sheets | https://sheets.google.com | Spreadsheets | Automated data storage and organization |
USER NEEDS
Pain Points:
- Manual tech stack research is time-consuming (20+ hours/week)
- Difficulty organizing raw API data
- Need for competitive intelligence and client proposals
Problems to Solve:
- Automating website technology detection
- Streamlining competitive research
- Accelerating client onboarding and integration debugging
Potential Solutions:
- API-based automation workflows
- AI-assisted data categorization
- Centralized database of tech stack information
GROWTH FACTORS
Effective Strategies:
- API-first approach for integration capabilities
- Freemium pricing models (e.g. 1000 free API requests/month)
Marketing & Acquisition:
- Showcasing real-world time-saving use cases
- Creating tutorial content (YouTube videos, workflow templates)
Monetization & Product:
- Free tier with paid API scaling
- Visual workflow builders lowering technical barriers
User Engagement:
- Community sharing of workflow templates
- Practical automation examples demonstrating ROI