FounderVision | Devpost

Inspiration

We noticed that startup founders often face complex decisions with limited data and conflicting insights. To address this, we envisioned a simple yet powerful tool that integrates multiple AI-driven perspectives to help founders visualize possible outcomes and make informed decisions quickly.

What it does

FounderVision is a multi-agent decision-making assistant tailored specifically for startup founders. It takes user inputs on critical business decisions and provides insights from specialized AI agents in financial projection, market analysis, and risk assessment. The outputs are visualized through an interactive decision tree, highlighting possible paths, estimated probabilities, and high-level impacts.

How we built it

Backend: Using FastAPI and Python, we set up basic API endpoints, integrated mock data sources, and connected specialized agents using Anthropic's API.

Frontend: We built a minimal React interface styled with Tailwind CSS, providing simple decision input forms and a visualization dashboard.

Visualization: Leveraging D3.js, we created dynamic, easy-to-understand decision tree diagrams.

Deployment: We rapidly deployed the frontend to Vercel and backend APIs to Railway, enabling quick prototyping and demonstration.

Challenges we ran into

Integrating multiple specialized agents and ensuring cohesive communication in such a short timeframe. Simplifying the decision tree visualization while maintaining clarity and usefulness. Balancing rapid development with basic authentication and user management features.

Accomplishments that we're proud of

Successfully implementing a functional MVP from concept to demo in just 24 hours. Achieving effective integration of AI agents providing genuinely helpful startup insights. Building an intuitive decision-tree visualization that clearly communicates complex decision paths.

What we learned

Rapid prototyping techniques using lightweight frameworks and tools significantly accelerated our development. Effective prompt engineering is crucial to leveraging AI agents efficiently. Prioritizing core functionality and user experience allows meaningful delivery even under tight constraints.

What's next for FounderVision

Enhancing agent sophistication and adding more specialized roles (e.g., competitor analysis, growth forecasting). Implementing real-time data integration with popular startup metric platforms. Expanding the visualization capabilities for richer and deeper analytical insights. Conducting user testing sessions to refine usability and effectiveness.