Leave every conversation with the work already done.
San Luis Obispo
Joined August 2024
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Today, we’re launching Earmark for Startups! 📼 👾
AI notes and summaries are about to go the way of Betamax. The next era isn’t about creating better records of what happened. It’s about conversations producing the work itself.
Customer calls become product direction. Technical discussions become prototypes and specs. The context flows into @claudeai, Codex, @cursor_ai, @v0, @linear, and whatever your team uses next.
Qualifying teams can get full @earmark_ai Pro access free for three months, for up to 20 people. No stripped-down plan. No tiny trial. The whole product for the whole team.
Apply here! content.tryearmark.com/start…
Talk in. Deliverables out. No rewinding required.
One project. Everyone’s context.
Projects in Earmark are now multiplayer. Invite teammates and bring together the meetings happening across your team, creating a shared history that keeps everyone aligned, whether they attended or not.
⦿ Combine insights from meetings attended by different teammates
⦿ Keep decisions, context, and next steps accessible to everyone
⦿ Ask Earmark about the latest status, past decisions, or what needs attention next
tryearmark.com
Earmark is heading to the Lenny & Friends Summit in San Francisco on Thursday, September 10th. 🎙️
Always a great chance to meet others building in this space.
If you'll be there, reach out - we'd love to connect.
Meeting bots have become bad manners - nobody wants more Fireflies and Fathom bots than humans on a call.
Earmark is botless across Zoom, Teams, and in-person. No training by default, no retention with subprocessors, and an ephemeral mode that turns storage off entirely - which is why health tech and fintech buy it.
Every transcript lands locally as markdown, ready for your local agents.
No other voice AI tool does this. 👇
We just made Earmark's desktop transcripts a lot more useful - especially if you run them through local agents!
Desktop transcripts now separate you from them. Your mic and system audio come through as attributed turns, so it's clear who said what instead of one blended block of text.
That attribution matters most downstream:
→ AI agents get cleaner context. Saved local transcripts are now who-said-what aware, so tools like Claude Code and Cowork can actually reason over a conversation instead of guessing who said what.
→ Artifacts get more accurate. Summaries, action items, and follow-ups all improve when Earmark knows who committed to what.
A transcript that knows who's talking is just better input - for you, and for everything you build on top of it.
Live now on our desktop app tryearmark.com 🎙️
EverHealth didn’t roll out @earmark_ai because someone mandated it. Their teams kept finding value and expanding usage.
Over the last year, adoption across EverHealth, DrChrono, EMHware, Updox, and other @EverCommerce organizations grew from 15 monthly active users to 60. Meeting volume grew nearly 9×. What stands out isn't the growth - it's the depth of engagement.
Across the group, users have run nearly 7,000 meetings, created more than 5,000 artifacts, and shared those artifacts over 4,400 times. More than 80% of users have both started meetings and generated work inside Earmark.
The strongest signal comes from EverHealth itself. Teams aren't using Earmark as a note-taker.
They're using it as part of their operating system - capturing customer conversations, creating requirements, generating updates, and turning discussions into execution artifacts in real time. When adoption spreads organically across Product, Engineering, Design, Customer Success, Execs, and multiple business units, it's usually a sign that you're solving a workflow, not a role-specific problem.
The future of work isn't about documenting conversations better.
It's about turning conversations directly into outcomes.
Seven PMs at @ServiceTitan started using @earmark_ai in November. There was no formal rollout plan, no leadership mandate. Seven people tried it, and we watched to see what would happen.
By February, Design joined. Then Engineering, then other teams from corners of the company we hadn't spoken to. Seven users became 60+ over six months, entirely through word of mouth and amazing internal champions. That's the growth signal we care about most.
When we surveyed the team twice, 67% said they'd be very disappointed to lose Earmark. Every single respondent said at least somewhat disappointed. But the number I keep coming back to isn't the satisfaction score. It's what they said about time.
Every respondent reported getting 5+ hours back per person, per week. We asked where those hours went – not "do you feel more productive," but where did they actually go. The answers were consistent: customer interviews, vision casting, deeper analytical work. One person wrote "thinking time – the part that gets cut first." Earmark gave it back.
But the number that shaped the product most isn't in any of that. It's the requests. "Pipe Earmark into Claude." Shipped. "Don't store my sensitive meetings." Shipped. "Stop rebuilding the same task." Shipped.
The ServiceTitan team didn't just Earmark for six months. They built it with us. That's the partnership worth talking about.
Earmark retweeted
When we started @earmark_ai , the question we cared most about was simple: could we create a daily and essential service for our customers?
In 2026, Earmark has grown 5× - more signups, more teams, more meetings shaped by the product. But the numbers we're proudest of aren't the growth ones. They're the quiet ones.
Nearly 40% of our users open Earmark every single day. Half of the people who try it come back within the same week, and a meaningful share are still using it a month later. The average user spends about two hours a day inside Earmark and runs close to three meetings a day through it.
People aren't just trying @earmark_ai . They're working in it. It's becoming part of the rhythm of their week. Quiet, constant, useful.
To every team building with us - thank you. We're just getting started. 💪
Earmark retweeted
we’re seeing huge demand at @earmark_ai for these types of workflows.
solving bespoke workflows where someone can literally meet and their job is done after is what people are paying for
Cycle time doesn’t break because teams lack ideas - it breaks in the gap between conversation and execution.
Most tools capture what was said. Then the real work starts after the meeting: writing specs, creating tickets, summarizing decisions. That lag is where momentum dies.
At Earmark, we flipped that model. Cycle time collapses because there is no “after.”
The best Earmark feedback isn’t “nice notes.”
It’s:
→ “I save hours every day”
→ “I look superhuman using it”
→ “It’s my new normal”
Meetings shouldn’t create more work.
They should produce it.
When you’re operating at enterprise scale, the meetings never really stop. Portfolio reviews, kickoffs, retros, incident follow-ups, postmortems. And every one of those meetings creates more work that still has to get done.
The trap is that the real work gets pushed to the edges. Early mornings. Late nights. Weekends.
That’s the pattern we kept seeing over and over: meetings create alignment, but the deliverables get deferred because the next wave of meetings is already starting.
We call that the infinite workday. It’s why we built Earmark.
Earmark’s vision is bigger than automating deliverables.
We’re building a second brain for product and R&D teams - a system that helps people stay clear, confident, and supported in some of the hardest roles in modern work.
Product, Engineering, and Design leadership can feel like organized chaos. You’re serving every audience at once, translating constantly, and carrying pressure that often goes unseen. We want to build the tool we always wished existed.
AI is opening the door for small, deeply mission-driven teams to create massive impact. That’s exactly what we’re here to do.
Earmark is the first voice AI application that saves markdown locally for @Claude Code and @Claude Cowork - tryearmark.com