JrAnalystGPT

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  Sample interaction

Inspiration

We initiated our project by exploring the advantages and motivations behind using ChatGPT alongside plugins.

• Real-world actions
• assisting in handling ad-hoc tasks
• Obtaining verifiable information that is difficult to find online, such as government data or flight pricing details.

Having access to Owler and Meltwater's robust firmographics and news event APIs, we chose to develop a Junior VC assistant for company analysis

What It Does

The plugin generates a comprehensive report on a specific company or industry sector, analyzing data from Twitter, Owler firmographics, news events, and website crawling. It offers insights, contact lists, and tailored LinkedIn introductions to key personnel.

How We Built It

Java wrapper backend manages the plugin OpenAPI spec and API calls. Python service handles Twitter data, crawling, and sentiment analysis with GPT-3.5. Extensive prompt research and engineering to optimize results.

Challenges

Prompt engineering difficulties Defining problem requirements Collaborating with diverse programming languages Balancing project scope

Proud Accomplishments

• Building an end-to-end solution quickly
• Seamlessly integrating various data sources
• Effective teamwork

Lessons Learned

• Plugins have immense potential
• Understand problem space early

What's Next for JrAnalystGPT

• Enhance report to better suit VC needs
• Enable automatic LinkedIn InMail sending upon user confirmation
• Integrate PDF pitch decks for new or unlisted companies

Built With

• crawling
• java
• python
• spring
• twitter