Earkeep for product managers

Ask PMs what the job is and the answer isn't "ship features," it's driving outcomes for users and the business. As one PM put it in a widely upvoted r/ProductManagement thread on being "a terrible but valuable PM": "Driving meaningful impact on the business and its KPIs […] I'm no longer losing my sanity trying to make a product successful." That happens almost entirely in conversation, not in a backlog. The top comment on a different thread about meeting load names this directly: "My work life improved dramatically when I realized that my job is to be in meetings. Every single thing I do is either in preparation for, happening in, or resulting from a meeting."

That means the record of your meetings is the record of your work. Earkeep exists to make that record complete, private, and usable, so every discovery call, stakeholder ask, and exec decision is captured toward making the product successful, not lost the moment the call ends.

Reported loads range from a protected "3 meetings a day" to a corporate PM who "averaged 10 to 14 meetings a day then had to get my work done after that." A typical week stacks daily standups, refinement and planning, stakeholder syncs with sales, support, marketing, and legal, batches of customer and discovery interviews, and leadership or strategy briefings. Three kinds of moments consistently get lost in that volume:

• Customer discovery calls, especially in person. You can't run an interview and take verbatim notes at the same time, and the tools built for this assume a video call. As one PM wrote: "We have been doing more in person interviewing and I find myself missing my AI Notetaker." The insight lives in the room, not the Zoom.
• Verbal stakeholder commitments. Sales says something in a hallway sync that should reshape the roadmap; a stakeholder agrees to a scope tradeoff out loud in a status call. None of it was scheduled as an "interview," so none of it was captured, and it evaporates.
• Exec reviews where quoting who decided what matters later. When a leadership briefing settles a direction, the ability to point to the exact exchange, not a paraphrase, is what protects the decision from being re-litigated two quarters later.

Even PMs who already record everything say the volume is the problem, not the capture: "I record all my meetings and revisit them because […] I struggle a bit with digesting a lot of information if a meeting gets past 45 minutes." Recording isn't the gap. Turning the recording into something you can act on is.

PMs are already heavy, pragmatic LLM users for ticket writing, PRDs, and meeting summaries, and are actively asking for the next step: "I've been using AI notetakers in almost all of my meetings […] but I feel that it could help move work forward. Would teams find value in meeting AIs that act, not just record?" That's what Earkeep's built-in agents and MCP server are for:

• Run Claude Code, Codex, Cursor Agent, Gemini CLI, Hermes, or any ACP-compatible agent directly inside Earkeep against your meeting history: sweep a week of transcripts for decisions, pull recurring themes out of a batch of ten discovery interviews, or draft the PRD's problem statement from what the customer actually said, in their words.
• Connect the same meeting history over MCP to Claude Desktop, Cursor, or any MCP-capable tool, so it sits alongside where you already write PRDs (Notion, Confluence, Google Docs) and track the backlog (Jira, Linear).
• Everything is saved as plain text files you own, so when someone asks "why did we build this?" a year later, the answer is greppable on disk, not buried in a SaaS account you may no longer have a seat on.

This directly answers the "drowning in AI notes" problem: the volume isn't the issue, having an agent that can search and synthesize your own transcript history on demand is.

• AI notetakers (Fireflies, Fathom, Otter, increasingly Granola) capture scheduled video calls well, but dial into the meeting as a visible bot and miss in-person conversation entirely. See Earkeep vs. Otter and Earkeep vs. Fathom.
• Granola is the closest philosophical match, no bot, runs on your own device, but it's cloud-processed, expects you to type notes during the call, and bills $14–35 per user per month indefinitely. See Earkeep vs. Granola.
• Interview repositories and synthesis tools (Dovetail, Productboard, NotebookLM, Miro boards, spreadsheets) organize what you've already captured, but only if the capture happened. Earkeep's transcripts feed into these downstream, not replace them.
• Docs and backlog tools (Notion, Confluence, Google Docs, Jira, Linear) are where the PRD and tickets live; Earkeep's agents and MCP server write into that same workflow instead of adding another silo.

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