Capital Compass

Accelerate Your Funding Success

Comment

Inspiration

Capital Compass was inspired by the challenges startups face in the fundraising process. Having firsthand experience in the startup world, we've noticed the difficulties startups face in finding compatible investors and creating compelling pitches. Our project aims to utilize AI technology to connect startups with the right investors and facilitate their funding success.

What it does

Capital Compass utilizes LLMs to identify compatible investors by evaluating the content of startups' pitch decks. Startups upload their pitch deck, and we use information retrieved from it to identify compatible investors based on investors' profiles that include essential information such as background, industry focus, preferred investment stages, preferred investment sizes, geographical focus, investment thesis, etc. This data is stored in Pinecone for faster and contextual retrieval. We retrieve the information and assign a compatibility score to each suitable investor. Once the user selects an investor, we employ LLMs to craft personalized double opt-in emails for them, incorporating their profiles and the startup's pitch deck. This process follows best practices from industry leaders like Y Combinator.

How we built it

To build Capital Compass, we followed a two-part approach, dividing the tasks into frontend and APIs that interact with OpenAI and Pinecone. For the frontend development, we utilized FlutterFlow to create an intuitive user interface. The backend was developed as a NodeJs application written in TypeScript. We used Langchain to facilitate interaction with OpenAI. The backend is hosted on AWS. Additionally, we utilized Firebase to store supporting investor data, including profile pictures.

Challenges we ran into

During the development of Capital Compass, we faced two primary challenges. Firstly, we had to craft prompts that could accurately evaluate investor information and generate engaging double opt-in emails. Secondly, as Pinecone was a new tool for us, we needed to figure out its optimal usage. Through iterative testing and development, we successfully overcame these challenges and developed effective solutions.

Accomplishments that we're proud of

We are proud to have successfully built a functional and user-friendly platform that harnesses the power of LLMs. Our accomplishment lies in developing a robust system that can effectively analyze pitch deck content, suggest suitable investors, and craft personalized emails. We are particularly proud of the seamless integration with Pinecone, enabling fast and contextual retrieval of investor data. Overall, we take pride in creating a solution that can significantly support startups in their fundraising journey.

What we learned

We learned how to leverage LLMs(OpenAI) and Vector databases(Pinecone) to analyze and evaluate textual data effectively.

What's next for Capital Compass

Looking ahead, we have exciting plans for Capital Compass. We aim to enhance the accuracy and relevance of investor recommendations by refining our prompts and improving the investor profiles. Furthermore, we intend to incorporate feedback mechanisms to gather user insights and improve the platform's functionality. Our ultimate vision is to expand Capital Compass into a comprehensive platform that supports startups throughout their growth journey, offering a wide range of resources and tools for success in fundraising and beyond.

Built With

Share this project:

Updates