# Cursor vs Earmark

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Earmark records 2,015 monthly visits with -33.9% growth and Free Trial, Paid pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Earmark](https://openaitools.app/tool/earmark) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.tryearmark.com |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Product Manager, AI Meeting Assistant, AI Agent, AI Productivity Tools |
| Pricing Model | Freemium | Free Trial, Paid |
| Monthly Visits | 23,297,751 | 2,015 |
| MoM Growth Rate | +8.4% | -33.9% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 793 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 29 | 1 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## Earmark

Earmark reframes the meeting as the work itself. Instead of taking notes and reconstructing decisions afterward, teams ask Earmark for the output they need — a spec, a decision record, a follow-up — and it drafts that document from the live conversation while the people with the answers are still in the room.

A core strength is handoff. Earmark prepares ticket drafts with titles, descriptions, and acceptance criteria for Linear or Jira, and can build briefs for Cursor or UI prompts for v0 that export with one click. Saved meetings live in Projects so invited teammates can query the shared context later. It can also suggest better questions during the discussion, improving as the conversation develops.

Privacy is treated seriously. Earmark states that customer meeting content is never used to train AI models and that its AI providers are held to the same rule. Meetings can be saved or run in Temporary Mode so their content stays out of history, transcript files can be stored locally as Markdown for use in Obsidian or with coding agents, and teams get a botless capture experience rather than a bot joining the call.

**Pricing & Plans:** Earmark offers a free trial with paid plans; see the pricing section on the site for current tiers and seat details.

- **Live deliverable drafting:** Ask for a spec, decision record, or follow-up and Earmark drafts it during the meeting so gaps surface while they are easy to fix.
- **Ticket and handoff exports:** Generate ticket drafts with acceptance criteria and export reviewed work to Linear or Jira, or briefs into Cursor and v0.
- **Botless capture with projects:** No bot joins the call, and saved meetings live in Projects where invited teammates can query the shared context later.
- **Suggested questions:** Earmark proposes clarifying questions in real time, sharpening as the discussion progresses.
- **Local Markdown transcripts:** The desktop app can save transcripts as Markdown files you can use in Obsidian or feed to coding agents.

**Strengths:** Deliverables are drafted live in the meeting rather than reconstructed later; One-click export into Linear, Jira, Cursor, and v0 fits existing workflows; Explicit commitment not to train AI models on customer meeting content; Botless capture plus local Markdown transcripts give teams flexibility and control

**Limitations:** Focused on product and engineering meetings, so other use cases get less tailored output; Temporary Mode and local transcript storage require deliberate setup; Best value depends on the team actually adopting the exported tickets and briefs

[Profile (Markdown)](https://openaitools.app/tool/earmark.md)

## Frequently Asked Questions

### How do Cursor and Earmark compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Earmark has 2,015. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; Earmark has -33.9%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. Earmark: Free Trial, Paid. Earmark offers a free trial with paid plans; see the pricing section on the site for current tiers and seat details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | AI meeting agent that transcribes, summarises, and turns every conversation into searchable knowledge | [.md](https://openaitools.app/tool/otter-ai.md) |
| 5 | [Fathom](https://openaitools.app/tool/fathom-2-0) | 5,620,385 | +0.2% | Freemium, Free Trial | AI notetaker that records, transcribes and summarizes meetings — bot-free | [.md](https://openaitools.app/tool/fathom-2-0.md) |
| 6 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 7 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 8 | [Read Speaker Coach](https://openaitools.app/tool/read-speaker-coach) | 4,071,302 | -4.8% | Freemium, Paid | Meeting summaries, transcripts, and AI search that turn meetings into outcomes | [.md](https://openaitools.app/tool/read-speaker-coach.md) |
| 9 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 10 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |

---
Source: https://openaitools.app/compare/cursor-vs-earmark

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)