Trying to build a ChatGPT-based alternative to Inven (a $10K market mapping tool)

Building a ChatGPT-powered alternative to Inven is an ambitious and exciting project! Based on the most helpful WSO content, here are some actionable steps and considerations to guide you:

1. Understand the Core Features of Inven

• Market Mapping: Identifying companies in a specific vertical.
• Filtering: Based on industry, geography, and size.
• Data Sources: Likely integrates with LinkedIn or similar databases for company discovery.

2. Leverage ChatGPT for Natural Language Processing

• Use ChatGPT to interpret user queries in natural language and convert them into structured filters (e.g., "Find SaaS companies in California with 50-200 employees").
• Integrate GPT-4's ability to process and summarize large datasets for thematic work.

3. Data Sources

• LinkedIn API: Essential for company data. Note that LinkedIn's API has strict usage policies, so ensure compliance.
• Open Data Sources: Explore Crunchbase (free tier), OpenCorporates, or other public databases for company information.
• Web Scraping: If APIs are limited, consider scraping public data (ensure legality and ethical use).

4. Tech Stack

• Frontend: Use a simple web framework like React or Vue.js for user interaction.
• Backend: Python (Flask/Django) or Node.js to handle API calls and data processing.
• Database: PostgreSQL or MongoDB for storing and querying company data.
• AI Integration: OpenAI API for ChatGPT functionality.

5. Key Functionalities to Build

• Search and Filter: Allow users to input criteria (industry, geography, size) and return relevant companies.
• Data Enrichment: Use APIs or scraping to enrich company profiles with additional details (e.g., revenue, employee count).
• Export Options: Enable users to export results to Excel or CSV for further analysis.

6. Challenges to Anticipate

• Data Accuracy: Ensure the data is up-to-date and reliable.
• Scalability: Handle large datasets efficiently.
• Compliance: Adhere to data usage policies and privacy regulations.

7. Resources and Tools

• WSO Resources: Check out the Financial Modeling Resources and Excel Resources for inspiration on structuring outputs.
• OpenAI Plugins: Explore plugins that can enhance GPT's capabilities, such as integrating with external APIs.
• Community Feedback: Post updates on WSO forums to gather feedback and iterate on your tool.

8. Cost Management

• Use free or low-cost tiers of APIs and tools during the development phase.
• Optimize API calls to reduce costs (e.g., batch processing queries).

9. Iterative Development

• Start with a Minimum Viable Product (MVP) focusing on one or two key features.
• Gather user feedback and expand functionality over time.

This project has the potential to disrupt the market mapping space, especially if you can offer a cost-effective alternative to Inven. Good luck, and keep the WSO community updated on your progress!

Sources: GPT-4 & Microsoft Co-Pilot, ChatGPT: The AI Analyst Who Ate Wall Street, Walking away from buyside after associate years, McKinsey Who?, https://www.wallstreetoasis.com/forum/investing/solving-a-crazy-problem-the-daily-peel-52223?customgpt=1