Dorado

Dorado connects investors and founders through intelligent matching, turning discovery into opportunity.

Comment

Inspiration

In today’s startup ecosystem, founders and investors face the same problem from opposite sides. Founders struggle to get their ideas in front of the right investors, often relying on cold outreach and limited networks. Meanwhile, investors are overwhelmed by the volume of opportunities, making it difficult to identify high-potential startups efficiently.

We call this the Discovery Gap — where great ideas fail to connect with the right capital. This inspired us to build Dorado, a platform that transforms startup discovery into a faster, smarter, and more meaningful experience.

What it does

Dorado is a platform that connects investors and founders through intelligent matching.

Investors can search and filter startups by key attributes such as industry, stage, location, and funding. Each startup includes an AI-generated summary that highlights the most important insights, allowing for quick evaluation.

Founders can showcase their startups in a structured way, making it easier to attract the right investors. When there’s interest, Dorado enables seamless connections and meeting scheduling.

How we built it

We built Dorado as a full-stack application focused on performance and scalability.

  • Frontend: Flutter for a responsive and modern user interface
  • Backend: FastAPI using asynchronous processing for smooth performance
  • Database: MongoDB Atlas (NoSQL) to support flexible and evolving startup data
  • AI Integration: Google Gemini API to generate concise startup summaries
  • Scheduling: Calendly integration for easy meeting booking

Challenges we ran into

  • Setting up and connecting to MongoDB Atlas in a cloud environment
  • Working through API integration challenges with Gemeni
  • Managing environment configurations and dependency issues
  • Designing a flexible data model for dynamic startup data
  • Optimizing search performance while maintaining clean architecture
  • Integrating external APIs like Gemini and Calendly efficiently

Accomplishments that we're proud of

  • Building a fully functional end-to-end platform within a hackathon timeframe
  • Designing a clean and intuitive filtering and discovery experience
  • Structuring a scalable backend architecture
  • Laying the foundation for AI-powered startup insights
  • Creating a clear and impactul user experience

What we learned

  • How to design and build scalable backend systems using FastAPI
  • The advantages of NoSQL databases for flexible data models
  • The complexity of integrating external APIs into real-world applicationns
  • How to structure applications for future scalability
  • The importance of teamwork and rapid problem-solving under time constraints

What's next for Dorado

We are actively working on completing our MongoDB integration and fully implementing AI-generated summaries using Gemeni.

Beyond that, we plan to expand Dorado with smarter recommendation algorithms, real-time networking features, and enhances analyticss.

Our goal is to make startup discovery more personalized and efficient-helping the right ideas connect with the right opportunities faster than ever.

Built With

Share this project:

Updates