5
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| OpenAI Search API | Not provided | AI/Data Processing | Used for certain information processing |
| Webscraping tools | Not provided | Data Extraction | Used for scraping updated information |
USER NEEDS
Pain Points:
- AI tools like OpenAI/Gemini cannot scrape the internet directly
- Difficulty in extracting specific structured data (e.g., company names) from the web
- Need to convert scraped information into structured formats like JSON
Problems to Solve:
- Automating B2B and investor data scraping
- Gathering updated information continuously (24/7 operation)
- Transforming unstructured web data into usable structured formats
Potential Solutions:
- Building a dedicated scraping platform that combines AI with web scraping tools
- Using AI selectively for specific information processing tasks
- Outputting data in structured formats like JSON for easy integration
GROWTH FACTORS
Effective Strategies:
- Creating a specialized solution for niche markets (B2B/Investor data)
- Offering 24/7 availability as a key differentiator
Marketing & Acquisition:
- Announcing launch on relevant communities (e.g., r/SideProject)
- Highlighting unique capabilities vs. general AI tools
Monetization & Product:
- Potential freemium model implied by 'launching soon' announcement
- Focus on specific use cases (B2B scraping, investor scraping) for product-market fit
User Engagement:
- Engaging with potential users in comments to explain value proposition
- Addressing direct comparisons with existing tools (e.g., OpenAI/Gemini)