Fellow isn’t just another note-taking tool. It’s what happens when you combine an AI-powered meeting assistant with deep HubSpot integration and build it for real business workflows.
We sat down with Aydin Mirzaee, CEO of Fellow, to talk about how the app works, what makes it different from generic call recorders, and how it’s helping hybrid teams automate meeting tasks and sync data into HubSpot.
Here’s what we learned:
Most AI tools for meetings stop at transcription or basic summaries. Fellow goes further.
It’s designed to help before, during, and after every meeting. Aydin calls it a “super employee” that not only captures conversations but acts on them.
Key features include:
Updating your CRM with meeting details
Logging summaries, to-dos, and call notes
Flagging follow-ups across conversations
Generating pre-meeting briefs using HubSpot data
This is what a true HubSpot AI meeting assistant looks like.
Hybrid work made meetings easier to schedule and harder to manage. Without physical limitations like conference rooms, meetings can multiply quickly and lose structure.
Fellow helps solve that by encouraging better meeting hygiene:
Every meeting should have a shared agenda
If you’re not speaking for at least 5% of the time, you probably don’t need to be there
Fewer than 8 attendees is ideal for decision-making
Async summaries reduce unnecessary attendance
Fellow supports these best practices automatically.
If your team hates updating HubSpot, you’re not alone. Fellow automates that part too.
With the HubSpot Fellow app integration, the tool:
Pushes notes, action items, and summaries into HubSpot
Updates custom fields using AI prompts
Handles complex fields like “Company growth outlook in 3 years”
Maps information based on what was said in the meeting
No manual data entry. No switching tabs. Just clean, structured CRM records.
Fellow gives teams control over how AI is used and what gets saved.
You can set rules like:
Which meetings are recorded
What gets redacted or deleted after a call
Who can access which types of meetings
How long different meeting types are stored
This level of control is critical for internal conversations, exec meetings, and compliance-focused teams.
Fellow’s current capabilities are just the beginning. The next generation of AI assistants will do more than take notes — they’ll complete workflows.
What’s coming:
Auto-generating follow-up docs for product and engineering
Updating wikis and internal knowledge bases
Enabling async decision-making with searchable transcripts
Flagging missed insights or inconsistencies
Offering coaching and recommendations in real time
In Aydin’s words:
“If you can trust AI to act on the content of your meetings, you’re not just saving time — you’re unlocking productivity at scale.”
Visit fellow.app or listen to more from Aydin on the UpYourStack podcast.
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