# Cursor vs Teaming

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Teaming records 944 monthly visits with +926.1% growth and Free Trial, Paid pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Teaming](https://openaitools.app/tool/teaming) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.teaming.com |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Review Generator, AI Coaching, AI Meeting Assistant, AI Report Generator |
| Pricing Model | Freemium | Free Trial, Paid |
| Monthly Visits | 23,297,751 | 944 |
| MoM Growth Rate | +8.4% | +926.1% |
| Primary Market | United States | Brazil |
| Direct Visits | 14,683,770 | 358 |
| Review Score | 4.7 | 4.1 |
| 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)

## Teaming

Opre, which grew out of the performance-management platform originally launched as Teaming, replaces episodic annual reviews with continuous, automated insight into how a team actually works. It attends your 1:1s and team meetings, summarizes what was discussed, detects tasks and topics, and gradually builds profiles of each person's working style so managers can lead with context instead of guesswork.

The product is built around three audiences. Managers get AI performance reviews, personalized feedback, difficult-conversation guides and suggested 1:1 topics. Direct reports get private task lists, goal tracking and visibility into their own working style. HR teams get aggregated team-health analytics, performance metrics and mentoring workflows that scale across the organization.

Opre is a commercial SaaS product from Meetingful, Inc. with a published per-employee plan of $25 per employee per month billed annually, which includes all features for every employee, and an entry point via a 14-day free trial. Custom per-manager and company-level pricing is available for larger organizations that need consolidated invoicing and analytics.

**Pricing & Plans:** Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

- **AI-generated performance reviews:** Generate complete, objective performance reviews and forecasts in a single click, based on your team's actual work and communication rather than last-minute recollection.
- **Meeting intelligence:** Opre listens to 1:1s and team meetings to produce note summaries, key points organized by topic, suggested agendas and automatically detected tasks.
- **Working styles and DiSC:** Personal work-style and leadership profiles built on the DiSC assessment, plus team strength and blind-spot analysis.
- **Team health and OKRs:** Anonymous team surveys across seven dimensions of team health, plus a team task manager and goals/OKR tracking with automated performance highlight reels.
- **Privacy and security:** Full privacy controls keep 1:1 conversations private, audio and video files are not stored, and meetings can be marked internal or external.

**Strengths:** Turns real meeting and work data into reviews, so performance feedback isn't guesswork; Covers managers, employees and HR in one platform rather than disconnected tools; Strong privacy stance — 1:1 conversations private, no stored audio or video; Free 14-day trial makes evaluation low-risk

**Limitations:** Priced per employee per month, which adds up for larger teams; Requires connecting meetings and communications before insights become useful; Annual billing required on the published per-employee plan; Some advanced analytics and HR features are gated behind custom company pricing

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

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Teaming has 944. 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%; Teaming has +926.1%.

### 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. Teaming: Free Trial, Paid. Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

## 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 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |
| 9 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |
| 10 | [Motion](https://openaitools.app/tool/usemotion-com) | 511,886 | -15.5% | Free Trial, Paid | The AI super app for work — tasks, projects, calendar and meetings in one place | [.md](https://openaitools.app/tool/usemotion-com.md) |

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

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