# Building Earmark: How a Two-Person Team Turned Meetings into Finished Work

Page: https://stenobird.com/podcast/just-now-possible-7481489/building-earmark-how-a-two-person-team-turned-meetings-into-finished-work
Text version: https://stenobird.com/podcast/just-now-possible-7481489/building-earmark-how-a-two-person-team-turned-meetings-into-finished-work.md
Podcast: [Just Now Possible](https://stenobird.com/podcast/just-now-possible-7481489)
Published: 2026-02-05T09:00:00+00:00
Episode link: https://justnowpossible.podigee.io/18-building-earmark
Audio file: https://audio.podigee-cdn.net/2333615-m-69093439706714d2bfa6782d3aff60bf.mp3?source=feed
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JSON: https://stenobird.com/v1/public/podcasts/just-now-possible-7481489/episodes/building-earmark-how-a-two-person-team-turned-meetings-into-finished-work
Duration seconds: 3607

## Resource

What if your meetings could actually produce the artifacts you need—specs, tickets, slides—before the call even ends? In this episode of Just Now Possible, Teresa Torres talks with Mark Barbir (CEO) and Sanden Gocka (Co-Founder), the co-founders of Earmark, about building a productivity suite that turns unstructured conversations into finished work in real time. Unlike generic AI notetakers that produce summaries nobody reads, Earmark runs multiple agents in parallel during your meetings—translating engineering jargon, drafting product specs, even spinning up prototypes in Cursor or V0 while you're still talking. You'll hear how they pivoted from an Apple Vision Pro presentation coaching tool to a web-based meeting assistant, why their ephemeral (no-storage) architecture became a feature for enterprise sales, and the technical challenges of making real-time AI affordable—from $70 per meeting down to under a dollar through prompt caching. They also dig into why vector search falls short for analysis questions and how they're building agentic search to find insights across months of meetings. Whether you're a PM drowning in follow-up work or a builder curious about real-time AI architectures, this conversation offers a detailed look at what it takes to ship an AI product that people can't imagine working without.

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