Meeting Intelligence
Turn Discord voice conversations into actionable insights with AI-powered summaries, key points, and action items.
Overview
Heda's Meeting Intelligence automatically extracts the most important information from your technical voice discussions. Instead of digging through full transcripts, get organized summaries and action items instantly.
Key Features
AI Summaries
Quick understanding without listening to recordings
- Concise overviews of entire discussions
- Focus on technical topics and decisions
- Organized by subject matter
Action Item Tracking
Never miss a follow-up task
- Automatically identifies tasks and commitments
- Assigns items to speakers when possible
- Creates a searchable task database
Key Points Extraction
Capture important information
- Highlights critical technical decisions
- Identifies implementation details
- Preserves architectural discussions
Discussion Timeline
Navigate meetings efficiently
- Topic markers throughout discussions
- Jump to specific segments
- Find decisions and technical details quickly
How It Works
Heda joins your voice channel with a simple command
Real-time transcription captures the conversation
AI processing identifies key elements and topics
Organized summary is generated after the conversation ends
Searchable archive makes all insights available to your community
Use Cases
Technical Office Hours
Get summaries of weekly sessions that highlight all questions and answers for those who couldn't attend.
Implementation Discussions
Capture architecture decisions and technical details in an organized format that can be referenced later.
Community Events
Turn AMAs and technical presentations into structured knowledge resources with key takeaways highlighted.
Team Planning
Track action items and decisions from voice planning sessions without manual note-taking.
Simple to Access
Access your meeting intelligence in multiple ways:
- Direct in Discord: Get summaries posted to a text channel
- Web Dashboard: Browse all meeting intelligence in one place
- Search: Find specific discussions, decisions, or action items
- Export: Save as Markdown or PDF for documentation
Sample Summary
AI Implementation Discussion (Jan 15, 2025)
Duration: 45 minutes | Participants: 5
Summary
The team discussed options for implementing the new recommendation engine. They decided to use a hybrid approach combining collaborative filtering and content-based methods. Initial deployment will be on a staging environment by Feb 1.
Key Decisions
- Use TensorFlow for model implementation
- Start with 3 recommendation types (similar content, popular in category, personalized)
- Deploy as a separate microservice
Action Items
- @Alex: Create GitHub repository for the new service (by Jan 20)
- @Jordan: Share sample training data structure (by Jan 22)
- @Taylor: Schedule infrastructure review meeting (by Jan 25)
Compare With Traditional Approaches
| Heda Meeting Intelligence | Manual Notes | Full Transcripts | |
|---|---|---|---|
| Time Required | Automatic | High | None |
| Structured Format | Varies | ||
| Action Item Tracking | Manual | ||
| Technical Accuracy | Depends on noter | ||
| Searchable | Limited | (but overwhelming) | |
| Context Preservation | Often missing | Too much context |
Try Meeting Intelligence
Start capturing the value of your technical discussions today.
No credit card required • Works with your existing Discord server