AI YC interview with Gstack agents

Product Introduction

1. Definition: Gstack Meeting is an open-source AI agent platform that integrates specialized, persona-driven voice bots into live Google Meet video conferences. Technically, it is a browser-based application built on the AgentCall framework, deploying multiple autonomous AI agents with distinct roles.
2. Core Value Proposition: It exists to simulate high-stakes, multi-perspective feedback sessions—like a Y Combinator interview or executive review—by bringing a panel of expert AI agents (CEO, CSO, QA Lead, etc.) into a real meeting to provide vocal critique, discussion, and collaborative analysis in real-time.

Main Features

1. Multi-Agent Voice Bot Integration: The platform deploys up to 15+ distinct gstack specialist agents (e.g., CEO, Chief Strategy Officer, QA Lead, Senior Designer, YC Partner) as active participants in a Google Meet. Each agent has a unique voice profile and personality, enabling them to speak, take turns, and debate out loud as if they were human attendees.
2. 3D Avatar Video Feeds: Each AI agent is represented by its own dynamic 3D avatar that appears as a video feed within the Google Meet grid. This provides a visual presence for each bot, enhancing the realism and engagement of the simulated panel discussion and making it clear which "persona" is speaking.
3. Real-Time Screen Critique & Chat Notes: The AI agents actively analyze and provide live verbal feedback on any screen shared during the meeting. Simultaneously, they generate structured notes, action items, and key critiques that are automatically posted into the Google Meet chat window, creating a searchable transcript of their feedback for later review.

Problems Solved

1. Pain Point: Founders and product teams lack access to affordable, on-demand expert panels for rigorous product critique, pitch practice, or design reviews, which are typically expensive and logistically complex to organize.
2. Target Audience: Tech startup founders preparing for investor pitches (especially YC interviews), product managers conducting internal design reviews, solo entrepreneurs seeking multi-disciplinary feedback, and development teams running QA or sprint retrospectives.
3. Use Cases: Essential for conducting a mock Y Combinator interview with simulated partner feedback, running a product launch rehearsal with executive-level scrutiny, performing a usability test review with design and engineering perspectives, and hosting a pre-mortem session where AI agents identify potential failure points.

Unique Advantages

1. Differentiation: Unlike single AI chatbots or transcription services, Gstack Meeting provides a panel of interacting specialists with conflicting viewpoints. Unlike pre-recorded feedback tools, it offers dynamic, real-time vocal interaction within a standard video conferencing tool (Google Meet) that teams already use.
2. Key Innovation: Its architecture leverages the open-source AgentCall framework to orchestrate multiple, independent AI agents—each with a finely-tuned system prompt defining its expertise and persona—to join a WebRTC-based video call, process audio/video streams in real-time, and collaborate to generate coherent, turn-by-turn dialogue and analysis.

Frequently Asked Questions (FAQ)

1. How does Gstack Meeting handle privacy and data security? As an open-source (MIT License), locally-deployable application that uses your own AI coding agent session (e.g., with Anthropic's Claude, OpenAI's GPT), your meeting data and prompts are processed through your configured API keys, not stored on external servers.
2. Is Gstack Meeting really free to use forever? Yes, the core software is free and open-source under the MIT License. Users only incur costs from the AI API providers (e.g., OpenAI, Anthropic) they choose to connect for the agent's "brain," giving full control over usage expenses.
3. What are the technical requirements to run Gstack Meeting agents? You need a modern web browser, a Google Meet link, and an active API key from a supported large language model provider. The application runs client-side in the browser, connecting to your chosen LLM API and the Google Meet service.
4. Can I customize the AI agents or create new specialist personas? Absolutely. Since the project is open-source on GitHub, developers can modify the system prompts, add new agent roles, adjust their behavioral parameters, and even contribute changes back to the main repository to tailor the panel to specific needs.