Earmark

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.

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.

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. 💪

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.

onboarding @earmark_ai

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.

@AdsSupport trying to post a few ads, literally trying to give you money (after subscribing in order to post ads) but i'm blocked.

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

Earmark v2.0 just launched 🚀 We believe meetings shouldn’t create more work. The problem is the second shift after the call: notes, tickets, docs, follow-up, and context reconstruction. Earmark is working towards ending the second shift.

This week we had a database outage at @earmark_ai caused by an upstream issue which led to elevated error rates on customer backends for about an hour. What's most interesting is that Earmark kept working.

Full session community.vercel.com/live/31932-com…

Big thanks to the @vercel community team for hosting us on Community Live this week! 🙏 We got to dig into the “infinite workday” problem - and demo how @earmark_ai turns live meetings into finished outputs while the conversation is happening. 🚀

The best AI startups I'm seeing aren't "Copilot for X" from people who've never done X.

🚀Introducing the Earmark desktop app for Mac & PC! Earmark runs quietly in the background while you talk. You can assign AI agents to capture decisions, generate follow-up comms, and draft deliverables all in real time. Try it 👉 tryearmark.com

"𝘛𝘩𝘦𝘳𝘦'𝘴 𝘯𝘰 𝘶𝘴𝘦𝘳 𝘵𝘩𝘢𝘵 𝘨𝘦𝘵𝘴 𝘵𝘩𝘦 𝘣𝘦𝘯𝘦𝘧𝘪𝘵 𝘰𝘧 𝘢 𝘱𝘳𝘦-𝘳𝘦𝘢𝘥 𝘣𝘦𝘧𝘰𝘳𝘦 𝘵𝘩𝘦𝘺 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 𝘰𝘶𝘳 𝘱𝘳𝘰𝘥𝘶𝘤𝘵, 𝘢𝘯𝘥 𝘯𝘦𝘪𝘵𝘩𝘦𝘳 𝘴𝘩𝘰𝘶𝘭𝘥 𝘐."

"Companies are becoming increasingly oral as opposed to written" 💬 This insight from @amasad (Replit CEO), @dflieb (YC Partner), @t_blom (YC Partner) captures something we've been seeing everywhere: the most valuable work happens in conversation, not documentation.

"Most PMs spend their time in the middle—a bunch of project management, busy work, a little deep work, a little customer time." —Morgan Brown His vision: AI handles the busy work so PMs can spend 80% of their time talking with customers. We're not waiting. We built it.