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Recal doesn’t just record or transcribe meetings — it turns messy conversations into structured, useful outcomes.

Instead of giving you another long transcript, Recal automatically extracts:

• Summaries of what actually happened
  
• Key decisions that were made
  
• Action items so nothing falls through the cracks
  

You can also chat with your meetings, Slack threads, and uploads to quickly find answers later — without rewatching recordings or scrolling through long threads.

The goal isn’t just to capture information, but to help teams actually move work forward from their conversations.

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Most tools stop at transcription or basic summaries. Recal focuses on what comes after the meeting.

With Recal you get:

• Clear next steps and tasks, not just notes
  
• Context across meetings, Slack, and uploads in one place
  
• AI that helps you find answers later, not just during the call
  
• Simple exports to tools like project management systems
  

It’s built for people who are tired of great meetings that lead to… nothing happening.

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Recal is built for teams that rely on conversations to move work forward, including:

• Founders and startup teams
  
• Product, design, and engineering teams
  
• Sales and customer success teams
  
• Remote and hybrid teams working across time zones
  

It’s especially useful for teams that want to stay aligned without adding more meetings to already busy calendars.

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Recal started from a simple frustration:
great conversations were happening every day, but important decisions and tasks kept getting lost.

Instead of building another note-taking app, we wanted to create something that:

• Understands conversations
  
• Turns them into structured results
  
• Helps teams actually act on what was discussed
  

Recal was built to become a kind of second brain for teams, where conversations don’t disappear after the call ends.

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Recal is built using a modern, scalable stack, including:

• Next.js for the web application
  
• TypeScript across the entire codebase
  
• Cloud infrastructure for processing, storage, and scaling
  
• AI models for transcription, summarization, and Q&A
  
• Secure APIs and webhooks for Slack and tool integrations
  

The focus is on reliability, fast performance, and handling large volumes of audio and text securely.

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Recal is currently used by a mix of:

• Early-stage startups
  
• Remote product teams
  
• Agencies and consulting teams
  
• Sales and customer success teams
  

We’re still early, so instead of large enterprise logos, our focus is on teams that live in meetings and Slack and want better follow-through from their conversations.