# Cursor vs Tenhaw

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Tenhaw records 4,209 monthly visits with +101.6% growth and Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Tenhaw](https://openaitools.app/tool/tenhaw-com) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.tenhaw.com |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | Other |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 23,297,751 | 4,209 |
| MoM Growth Rate | +8.4% | +101.6% |
| Primary Market | United States | United States |
| Direct Visits | 14,683,770 | 1,237 |
| Review Score | 4.7 | 3.9 |
| Saved Count | 29 | 0 |
| 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)

## Tenhaw

Tenhaw is a London AI consultancy and delivery partner that works embedded with client teams rather than selling a self-serve software subscription. Established in 2020, it helps organisations build AI products and software, automate workflows, stand up enterprise AI assistants and develop the internal capability to run them. The pitch is that the models are increasingly common, so the differentiator is rebuilding the work around them.,Engagements run from discovery into delivery. Tenhaw says it connects hands-on engineering with product delivery and operating-model design, works inside client infrastructure alongside their people, and plans a handover from the start. Its case material references 12 programmes delivered at scale across banking, mining, media, retail, public sector and insurance, including a PDF-to-business-intelligence proof of concept built on Azure at Placing Platform Limited in two weeks, paired throughout with a client engineer.,A distinctive part of the offer is the Tenhaw Way, which prices every outcome in currency so each month shows what actually moved and what it was worth. Pricing is handled transparently: the site says its rate card is published, and it invites teams to book a 30-minute call or send a written enquiry to get a rough scope and next step, whether or not they engage.

**Pricing & Plans:** Consultancy engagement. Tenhaw states its rate card is published and offers 30-minute intro calls or written enquiries to scope work; exact figures are agreed per engagement, so contact the team for a quote.

- **Build an AI product:** Turn an idea into an app, software feature or working prototype, defining the user need and testing the approach with your team.
- **Automate a workflow:** Connect the documents, data and systems behind repetitive work and build AI agents around clear tasks with agreed review and ownership.
- **Create an enterprise AI assistant:** Help people find and use organisational knowledge, shaped around your sources, permissions and decisions.
- **Upskill your team:** Build lasting capability through practical training, pairing and changes to everyday work, giving teams a method they can keep improving.
- **Value tracking:** The Tenhaw Way prices every outcome in currency, so each month shows what actually moved and what it was worth.

**Strengths:** Hands-on, embedded work with senior practitioners inside your infrastructure; Covers the full arc from prototype to delivery and adoption, with handover planned upfront; Value pricing that measures outcomes in currency each month; Broad cross-sector experience across banking, media, retail, industrial and public sector

**Limitations:** It is a consultancy engagement, not a self-serve software product you can sign up for online; Availability depends on team capacity for embedded work rather than instant onboarding; Outcomes rely on your own people adopting new ways of working, so success is a shared effort

[Profile (Markdown)](https://openaitools.app/tool/tenhaw-com.md)

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Tenhaw has 4,209. 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%; Tenhaw has +101.6%.

### 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. Tenhaw: Contact for Pricing. Consultancy engagement. Tenhaw states its rate card is published and offers 30-minute intro calls or written enquiries to scope work; exact figures are agreed per engagement, so contact the team for a quote.

## 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 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Excels at enterprise-grade context engines and team workflows, but is heavier to set up than Cursor. | [.md](https://openaitools.app/tool/augment-code.md) |

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Source: https://openaitools.app/compare/cursor-vs-tenhaw-com

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