Réunia

Réunia is an AI-powered meeting coach developed by a solo founder (vincentwenger) for personal use during meetings and job interviews. The product claims to help users prepare for, participate in, and review meetings through a combination of live Q&A assistance, transcription, summarization, and performance feedback.

The description states that Réunia supports English and French, with a browser-based recorder and a Windows desktop client. It uses AWS services like S3, DynamoDB, Redis, and Lightsail for hosting, and integrates OpenAI tools including GPT-5.6, Codex, and Whisper for speech-to-text and AI processing.

Key features include:

• Pre-meeting preparation with document upload and context setting
• Live Q&A during meetings using real-time transcript analysis
• Post-meeting review with summaries, action items, scorecards, and knowledge search

The author describes building the product over several months while completing an AI/ML certificate and AWS certification. The architecture evolved from database storage to in-memory processing to Redis-based temporary state management.

What Changed: The project evolved from a simple meeting recorder into a full coaching tool that includes live assistance and performance feedback, based on the founder's personal experience with forgotten meeting details and need for better preparation.

Single Most Important Open Question: Is there evidence of any actual user adoption or commercial traction beyond the solo developer's personal use? The description contains no data about users, revenue, customers, or market validation.

The description states that Réunia is an AI meeting coach designed to help users prepare for, participate in, and review meetings. It includes:

• A web application built with Flask
• A Windows desktop recorder client built with Tkinter
• Browser-based recording capability
• Live Q&A feature during meetings
• Post-meeting analysis including summaries, action items, scorecards, and knowledge search
• Support for English and French languages

The product is described as having two connected components:

1. A Flask web application and backend
2. A Windows desktop recording client

The author states that the web application handles user authentication, meeting preparation, document management, browser-based recording, live Q&A, transcript review, AI-generated summaries and insights, meeting scorecards, knowledge search, action tracking, analytics, and localization.

The desktop recorder is described as supporting microphone and shared-audio capture, performing transcription while the meeting is in progress, and uploading completed transcripts to the web application.

The description states that Réunia evolved from a simple meeting recorder into an AI meeting coach. The founder's personal experience with forgotten meeting details and need for better preparation led to this evolution.

The author claims Réunia helps users:

• Prepare better for meetings
• Stay engaged during conversations
• Turn every conversation into clear next steps

The positioning shifted from "only a meeting recorder" to "an AI meeting coach" that provides both live assistance and post-meeting review capabilities. The Live Q&A feature was added as an enhancement to help users think faster during meetings.

The description states that Réunia is designed for individuals who attend important meetings or job interviews, particularly those who:

• Want to remember details from conversations
• Need help organizing their thoughts quickly during complex questions
• Want to review their performance and prepare for future meetings
• Attend meetings where they need to be well-prepared

The author's own experience with meetings and job interviews is cited as the inspiration. The product appears to target professionals who want to improve their meeting performance and ensure they don't miss important details.

Not evidenced. The description does not contain any information about pricing, business model, revenue streams, or monetization strategy.

The description states that Réunia was built using:

• Flask web application in Python
• Windows desktop recorder in Python with Tkinter
• AWS services including Lightsail, S3, DynamoDB, Redis
• Docker containerization
• OpenAI tools including GPT-5.6, Codex, Whisper
• Technologies like CSS, HTML, JavaScript, JSON, PyInstaller

The author describes a progressive architectural evolution:

1. First used database storage for Live Q&A (too slow)
2. Moved to in-memory processing (improved speed but lost data on redeployment)
3. Implemented Redis for fast, shared, and more durable temporary storage

The system supports both browser-based and Windows desktop recording with separate microphone and shared audio capture.

Not evidenced. The description contains no information about users, customers, revenue, adoption rates, or market traction beyond the solo developer's personal use.

Not evidenced. The description does not contain any information about competitors, market positioning, or competitive landscape.

• Solo founder with no team (team size: 1)
• No evidence of user adoption or commercial traction
• Self-reported only - no independent verification of claims
• Product appears to be a personal project rather than a commercial product
• No revenue, customer, or market data provided
• Limited technical architecture details beyond basic AWS and OpenAI usage
• The evolution from database to in-memory to Redis suggests ongoing architectural challenges

1. What is the actual user base for Réunia beyond personal use?
2. Have you conducted any market research or customer interviews?
3. How do you plan to monetize this product?
4. What are your specific plans for scaling beyond a solo developer?
5. How do you intend to compete with established meeting tools like Zoom, Microsoft Teams, or Notion?
6. What is the timeline for adding additional languages beyond English and French?
7. Have you considered privacy implications of recording and analyzing meetings?
8. What are the technical challenges in moving from Lightsail to a more robust hosting solution?