Agent-first infrastructure for meetings. One API to capture 50+ real-time data points from Zoom, Google Meet, and Teams, with built-in voice infrastructure so your agent joins as a participant, listens, speaks, and acts while the call is happening.
Here's the bet we've staked the company on: meetings are about to stop being human-only rooms.
The people who own the platforms already believe it. Zoom's CEO says he wants to send a digital twin to his meetings. Microsoft is reorganizing Teams around human-agent teams. Fireflies hit a $1B valuation and gave its notetaker a voice. Gartner says 40% of enterprise apps will ship task-specific agents by the end of this year, up from under 5% last year.
But almost all of it is still capture: record the meeting, summarize it afterward. The agent reads the minutes. It never sits at the table.
So we built two things, and you need both to change that.
An unified capture engine. 50+ data points per meeting in real time: per-participant audio and video, live transcripts with speaker attribution, participant events, the full meeting lifecycle over webhooks. Zoom, Google Meet, and Teams through one API.
A voice infra layer. Your agent joins as a real participant with scoped permissions, speaks while the conversation is still happening, and calls tools mid-call. Ours update CRMs while the customer is still talking.
Here's what I keep coming back to: every agent company is chasing the same scarce resource, and it's context.
The context that matters most isn't sitting in a CRM field or a doc. It's in the conversation. Decisions get made in meetings. Objections surface in meetings. Most of it is never written down anywhere.
That's what we let them capture. Today MeetStream runs underneath CRM platforms, customer support tools, productivity apps, and yes,notetakers (we're not one, we power them!). 30+ AI products in production. In every one of them we ship as a feature: meeting data flowing in, and a voice going back into the room.
I didn't set out to build this either. I wanted a sales agent that could speak in meetings, and found the hard part wasn't intelligence, it was presence: lobby states, per-speaker streams, reconnection logic, platform changes that break things at 2am. Every AI team hits that wall. So we became the rails.
Voice is how humans have always worked together. Now agents are joining the conversation, literally. You build the agent. We keep it in the room.
We've been in private beta for a long time, building with a small group of teams who were patient with us while we got the hard parts right. Today we're opening it up to everyone. No waitlist, no sales call. Sign up and put a bot in a meeting in a few minutes.
What we actually want from today is the feedback. Tell us what's missing, what broke, what you'd need before you'd trust this in production. I'm reading every comment.
So, honestly: how critical do you think agents in meetings will be? I'd love to hear where you land.
About MeetStream AI on Product Hunt
“Unified API & Infra for AI Meeting Agents”
MeetStream AI launched on Product Hunt on August 20th, 2026 and earned 148 upvotes and 18 comments, placing #5 on the daily leaderboard. Agent-first infrastructure for meetings. One API to capture 50+ real-time data points from Zoom, Google Meet, and Teams, with built-in voice infrastructure so your agent joins as a participant, listens, speaks, and acts while the call is happening.
On the analytics side, MeetStream AI competes within API, Meetings and Developer Tools — topics that collectively have 622.9k followers on Product Hunt. The dashboard above tracks how MeetStream AI performed against the three products that launched closest to it on the same day.
Who hunted MeetStream AI?
MeetStream AI was hunted by Kevin William David. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Kevin William David
Hey Product Hunt! I'm @sidhdharth, co-founder of MeetStream AI.
Here's the bet we've staked the company on: meetings are about to stop being human-only rooms.
The people who own the platforms already believe it. Zoom's CEO says he wants to send a digital twin to his meetings. Microsoft is reorganizing Teams around human-agent teams. Fireflies hit a $1B valuation and gave its notetaker a voice. Gartner says 40% of enterprise apps will ship task-specific agents by the end of this year, up from under 5% last year.
But almost all of it is still capture: record the meeting, summarize it afterward. The agent reads the minutes. It never sits at the table.
So we built two things, and you need both to change that.
An unified capture engine. 50+ data points per meeting in real time: per-participant audio and video, live transcripts with speaker attribution, participant events, the full meeting lifecycle over webhooks. Zoom, Google Meet, and Teams through one API.
A voice infra layer. Your agent joins as a real participant with scoped permissions, speaks while the conversation is still happening, and calls tools mid-call. Ours update CRMs while the customer is still talking.
Here's what I keep coming back to: every agent company is chasing the same scarce resource, and it's context.
The context that matters most isn't sitting in a CRM field or a doc. It's in the conversation. Decisions get made in meetings. Objections surface in meetings. Most of it is never written down anywhere.
That's what we let them capture. Today MeetStream runs underneath CRM platforms, customer support tools, productivity apps, and yes, notetakers (we're not one, we power them!). 30+ AI products in production. In every one of them we ship as a feature: meeting data flowing in, and a voice going back into the room.
I didn't set out to build this either. I wanted a sales agent that could speak in meetings, and found the hard part wasn't intelligence, it was presence: lobby states, per-speaker streams, reconnection logic, platform changes that break things at 2am. Every AI team hits that wall. So we became the rails.
Voice is how humans have always worked together. Now agents are joining the conversation, literally. You build the agent. We keep it in the room.
We've been in private beta for a long time, building with a small group of teams who were patient with us while we got the hard parts right. Today we're opening it up to everyone. No waitlist, no sales call. Sign up and put a bot in a meeting in a few minutes.
What we actually want from today is the feedback. Tell us what's missing, what broke, what you'd need before you'd trust this in production. I'm reading every comment.
So, honestly: how critical do you think agents in meetings will be? I'd love to hear where you land.