Today we're launching MeetStream on Product Hunt.
Every agent company is chasing the same scarce resource: context. And the context that matters isn't in a CRM field. It's in the conversation.
We built the infrastructure that lets AI agents into meetings.
↳ 50+ data points per meeting, in real time
↳ per-participant audio, video, live transcripts
↳ a voice infra: your agent speaks while the call is happening
↳realtime actions: connect with tools & MCP in call
↳ Zoom, Google Meet, Teams. One API.
Processed over 1M meeting minutes in last month. After a long private beta, it's open to everyone today.
Come support us and drop your honest feedback: https://t.co/Lh3glOSQ66
Sam Altman: "in the next 6 months, we're close to a world where a descendant of ChatGPT can watch your screen, record every meeting and call, and have perfect context of your whole life."
It's happening!
@_PedroPizarro_ We have built-in VAD systems with configurations you can play around with. However, the model & the mode (S2S or STT->LLM->TTS) also affect the quality of the convo!
human-ai collaboration is already happening and voice is the primary interface
enabling multiple people to talk to agents and have that agent respond/ask/clarify and do the work in real-time is the future.
you can now bring GPT-6 Astra into any meeting using https://t.co/yzIjuaP47V
voice agents in meetings is the future
human-ai collaboration is already happening and voice is the primary interface
enabling multiple people to talk to agents and have that agent respond/ask/clarify and do the work in real-time is the future.
you can now bring GPT-6 Astra into any meeting using https://t.co/yzIjuaP47V
voice agents in meetings is the future
human-ai collaboration is already happening and voice is the primary interface
enabling multiple people to talk to agents and have that agent respond/ask/clarify and do the work in real-time is the future.
you can now bring GPT-6 Astra into any meeting using https://t.co/yzIjuaP47V
voice agents in meetings is the future
@andrewchen the reason this is happening is because every product needs to capture context, especially in their native way for their own real-time (or non real-time) downstream workflows.