# Actcast vs Cursor

Actcast records 585 monthly visits with -59.9% month-over-month growth and Contact for Pricing pricing. Cursor records 23,297,751 monthly visits with +8.4% growth and Freemium pricing.

| Metric | [Actcast](https://openaitools.app/tool/actcast-io) | [Cursor](https://openaitools.app/tool/cursor) |
| :--- | :--- | :--- |
| Website URL | https://actcast.io | https://www.cursor.com |
| Categories | AI Developer Tools, AI Image Recognition, AI Models | AI Code Assistant, AI Developer Tools, AI Agent |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 585 | 23,297,751 |
| MoM Growth Rate | -59.9% | +8.4% |
| Primary Market | Japan | United States |
| Direct Visits | 200 | 14,683,770 |
| Review Score | 4.1 | 4.7 |
| Saved Count | 0 | 29 |
| Supported Platforms | Website | Website |

## Actcast

Actcast is an IoT platform built around the idea of "intelligent sensing for everyone." Rather than streaming raw video to a cloud for processing, Actcast runs deep learning inference directly on inexpensive edge devices, typically Raspberry Pi hardware, and forwards only the meaningful events and metadata to the cloud. That design keeps bandwidth and latency low while sidestepping many of the privacy concerns of continuous video upload.

The platform is organized around Acts, which are packaged sensing applications that can be installed onto registered devices. Users set up and manage devices and groups through the Actcast console, choose from a catalog of supported hardware, and connect the resulting detections to downstream systems through APIs and webhooks. This makes it practical to build things like counted footfall, occupancy monitoring, or notification triggers without writing a full CV pipeline from scratch.

Actcast targets developers and companies that want to add ambient sensing to physical spaces — retail, offices, factories and smart-building deployments. Because capabilities are delivered as installable Acts and managed remotely, teams can iterate on which signals they care about over time instead of committing to a one-off hardware integration.

**Pricing & Plans:** Actcast does not publish a self-serve price list; pricing is arranged through a contact/demo conversation, typically taking into account the number of devices, the Acts you deploy and the scale of your deployment.

- **Edge deep-learning inference:** Runs trained models on local edge devices such as Raspberry Pi so events are detected on-site and only metadata is sent onward.
- **Installable Acts:** Sensing applications are packaged as Acts that can be published, discovered and installed onto registered devices.
- **Device and group management:** A central console lets you register, organize and monitor devices and groups across one or many locations.
- **Webhook and API integration:** Detected events can be pushed to your own services through webhooks and APIs, making it easy to wire Actcast into existing applications.
- **Supported device program:** A curated list of supported hardware keeps deployments predictable, so you know which cameras and boards work out of the box.

**Strengths:** Keeps video and inference on the edge, reducing bandwidth, latency and privacy exposure.; Acts model means you can deploy useful sensing without a full ML team.; Central console makes managing many remote devices and groups manageable.; Clean webhook/API path for connecting detections to existing software.

**Limitations:** Pricing requires a sales conversation, so budgeting is not instant.; Best experience depends on supported hardware, which constrains DIY builds.; Console-based tooling has a learning curve for teams new to edge deployments.

[Profile (Markdown)](https://openaitools.app/tool/actcast-io.md)

## 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)

## Frequently Asked Questions

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

Actcast has 585 monthly visits, while Cursor has 23,297,751. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Actcast has a month-over-month growth rate of -59.9%; Cursor has +8.4%.

### How does pricing compare?

Actcast: Contact for Pricing. Actcast does not publish a self-serve price list; pricing is arranged through a contact/demo conversation, typically taking into account the number of devices, the Acts you deploy and the scale of your deployment. 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.

## 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 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Build, train, and deploy computer vision for the physical world | [.md](https://openaitools.app/tool/roboflow.md) |
| 10 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) |

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Source: https://openaitools.app/compare/actcast-io-vs-cursor

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