FoundrConnect
FoundrConnect is a platform that helps founders connect, collaborate, and grow faster. We recently added agentic browser using CHATGPT5 api with live web search, so users can instantly access fresh insights, research, and tools—making networking smarter
Core trick
An agentic browser calls the GPT-5 API with live web search, and Zilliz vector search stores messages and matches founders.
Description
FoundrConnect is a networking and collaboration platform designed for founders, startups, and entrepreneurs to connect, share ideas, and grow together. It simplifies how founders discover potential partners, mentors, and opportunities in real time. Recently, we introduced an agentic browser with live web search, enabling users to instantly gather up-to-date information, analyze markets, and validate ideas without leaving the platform. This integration transforms FC Connect into more than just a networking hub—it’s now a smart workspace where connections meet actionable insights, empowering founders to move faster, make informed decisions, and turn ideas into execution seamlessly.
README excerpt
# Abhi Fire App A dynamic web application with Zilliz vector database integration that displays animated messages and connects founders. ## Features - Animated text display - Zilliz vector database integration for message storage and founder connections - RESTful API endpoints - Real-time message updates ## Prerequisites - Node.js (v14 or higher) - Zilliz Cloud account (or local Milvus installation) - npm (Node Package Manager) ## Installation 1. Clone the repository 2. Install dependencies: ```bash npm install ``` 3. Configure environment variables: - Copy `.env.example` to `.env` - Update Zilliz connection parameters if needed ## Running the Application 1. Ensure Zilliz Cloud account is active (or start local Milvus if using that) 2. Start the server: ```bash npm start ``` or for development with auto-reload: ```bash npm run dev ``` ## Access Links - Frontend: http://localhost:8000 - Backend API: http://localhost:3000 - API Endpoints: - GET /api/messages - Retrieve all messages - POST /api/messages - Create a new message ## Project Structure ``` ├── index.html # Frontend UI ├── server.js # Express server and API endpoints ├── package.json # Project dependencies └── .env # Environment configuration ``` ## Development The application uses: - Express.js for the backend server - Zilliz/Milvus for vector data storage - Basic HTML/CSS for frontend - OpenAI for embeddings generation