# CreateOS vs exe.dev CreateOS records 588 monthly visits with +18.3% month-over-month growth and Freemium pricing. exe.dev records 60,103 monthly visits with -26.4% growth and Freemium, Paid pricing. | Metric | [CreateOS](https://openaitools.app/tool/createos) | [exe.dev](https://openaitools.app/tool/exe-dev) | | :--- | :--- | :--- | | Website URL | https://createos.nodeops.network | https://exe.dev | | Categories | AI App Builder, No-Code&Low-Code, AI Developer Tools, AI Website Builder | AI Developer Tools, AI Agent, AI App Builder | | Pricing Model | Freemium | Freemium, Paid | | Monthly Visits | 588 | 60,103 | | MoM Growth Rate | +18.3% | -26.4% | | Primary Market | Global | United States | | Direct Visits | 265 | 40,778 | | Review Score | 4.1 | 4.3 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## CreateOS CreateOS positions itself as the unified workspace where applications are built, deployed and scaled. Rather than stitching together a repository, a CI pipeline, a hosting provider and a billing system, teams work inside one environment with AI acting as a coding and execution assistant. Deployment runs in one click from GitHub or Docker, and infrastructure concerns such as servers, scaling and networking are abstracted away. The product also includes a template marketplace and accelerator tools, so a project can start from a working starting point instead of an empty repo. Monetization features help turn a finished app into a product with subscriptions or paid access, closing the loop between shipping and earning. Because everything lives in one workspace, the intended audience is broad: solo founders validating ideas, small teams without platform engineers, and developers who want to skip repetitive setup. A free tier is advertised, with paid tiers available as usage grows. **Pricing & Plans:** CreateOS advertises a free starting point with paid plans for teams and higher usage. Exact tier limits and prices are displayed in the product, so check the pricing page for current numbers. - **AI-assisted execution:** Describe what you want to build and let the workspace scaffold, edit and run code with AI assistance across the project. - **One-click deployment:** Ship from GitHub or Docker with a single action, skipping manual server configuration and pipeline wiring. - **Template marketplace:** Start from ready-made application templates and accelerator tools instead of building common scaffolding from scratch. - **No-DevOps infrastructure:** Servers, scaling and networking are handled for you so the team can focus on product rather than platform work. - **Built-in monetization:** Turn a deployed app into a commercial product with subscription or paid-access features inside the same workspace. **Strengths:** Single workspace instead of many disconnected tools; One-click deploys from GitHub and Docker remove setup friction; AI assistance plus templates speed up early development; Infrastructure and monetization are handled without dedicated DevOps **Limitations:** The abstraction can limit fine-grained control over the runtime; Features and limits depend on the underlying NodeOps platform; Suitable mainly for teams that do not need bespoke infrastructure [Profile (Markdown)](https://openaitools.app/tool/createos.md) ## exe.dev exe.dev is a Bay Area-built cloud computing platform aimed at a specific modern problem: developers increasingly run coding agents that need their own machines, and those machines need to behave like real servers rather than ephemeral containers. The product lets you buy a pool of vCPU and memory and then spin up as many VMs as you want inside it, fork them quickly, and SSH straight in with root access on Ubuntu-compatible images with apt and systemd available. The platform positions itself as production-ready infrastructure, not just a scratchpad. VMs get fast, persistent, replicated NVMe storage, can be exposed publicly over HTTPS on *.exe.xyz subdomains, and can also host consumer-facing apps with authentication and secret management handled by the platform. A built-in LLM gateway can attach provider keys (OpenAI, Anthropic, xAI, Fireworks, Deepgram and others) to your machines so agents have model access without extra plumbing. Pricing is transparent and published: a Personal plan starts at $15 per month for a 2 vCPU / 4 GiB pool, larger Personal pools scale up to 16 vCPU / 32 GiB, a Work plan adds SSO, unlimited users, larger VM counts per pool and hourly or monthly scaling, and Enterprise covers dedicated hardware and VPC connectivity. A seven-day trial is offered, and you can get started free through ChatGPT. **Pricing & Plans:** Personal plans start at $15/month for 2 vCPU and 4 GiB of pooled memory, scaling to $155/month for 16 vCPU and 32 GiB. The Work plan is $75/month regular (intro $37.50/month for the first three months) with SSO, unlimited users and extra pool resources billed hourly. Enterprise pricing is custom, and a 7-day free trial is available. - **Real persistent VMs, not sandboxes:** SSH into Ubuntu-compatible machines with root access, apt and systemd, then keep them running as long-lived servers instead of short-lived containers. - **Pooled CPU and memory:** Buy vCPU and RAM once, then create as many VMs as you need inside the pool and fork them quickly for parallel agent work. - **HTTPS and public hosting built in:** Expose internal apps privately or publish them publicly on *.exe.xyz subdomains, with auth and secret management handled for you. - **LLM gateway for agents:** Attach OpenAI, Anthropic, xAI, Fireworks or Deepgram keys so agents running on your VMs have model access configured automatically. - **Global regions and durable storage:** Deploy VMs across regions with fast, persistent and replicated NVMe storage, plus team features like SSO on higher-tier plans. **Strengths:** Real root-access Linux VMs with persistent storage rather than ephemeral sandboxes; Transparent published pricing with a free trial and hourly scaling option; Built-in HTTPS exposure, auth, secrets and an LLM gateway for agent workloads; Fast VM creation and forking, useful for parallel agent tasks and preview environments **Limitations:** Priced per resource pool, so heavy multi-VM usage can add up quickly; No free tier beyond the trial and ChatGPT-based signup path; Enterprise features such as VPC and dedicated hardware require contacting sales [Profile (Markdown)](https://openaitools.app/tool/exe-dev.md) ## Frequently Asked Questions ### How do CreateOS and exe.dev compare in monthly traffic? CreateOS has 588 monthly visits, while exe.dev has 60,103. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? CreateOS has a month-over-month growth rate of +18.3%; exe.dev has -26.4%. ### How does pricing compare? CreateOS: Freemium. CreateOS advertises a free starting point with paid plans for teams and higher usage. Exact tier limits and prices are displayed in the product, so check the pricing page for current numbers. exe.dev: Freemium, Paid. Personal plans start at $15/month for 2 vCPU and 4 GiB of pooled memory, scaling to $155/month for 16 vCPU and 32 GiB. The Work plan is $75/month regular (intro $37.50/month for the first three months) with SSO, unlimited users and extra pool resources billed hourly. Enterprise pricing is custom, and a 7-day free trial is available. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Luxe-magnate-core](https://openaitools.app/tool/luxe-magnate-core) | 3,694,734 | +40.5% | Freemium, Contact for Pricing | Describe what you want and an AI agent builds the website, app, or SaaS product for you. | [.md](https://openaitools.app/tool/luxe-magnate-core.md) | | 2 | [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) | | 3 | [Zeabur](https://openaitools.app/tool/zeabur) | 275,642 | -15.9% | Free Trial, Paid | AI DevOps engineer that deploys and scales your apps | [.md](https://openaitools.app/tool/zeabur.md) | | 4 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) | | 5 | [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | +24.2% | Free Trial, Contact for Pricing | The low-cost cloud sandbox where AI agents actually live | [.md](https://openaitools.app/tool/agent-37.md) | | 6 | [Coder](https://openaitools.app/tool/coder) | 149,417 | -12.8% | Free Trial, Contact for Pricing, Free | Self-hosted cloud development environments and AI coding agents for enterprise teams | [.md](https://openaitools.app/tool/coder.md) | | 7 | [Thunder Compute](https://openaitools.app/tool/thunder-compute) | 102,147 | -29% | Paid (per-minute instances, per-second sandboxes) | Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads. | [.md](https://openaitools.app/tool/thunder-compute.md) | | 8 | [boat](https://openaitools.app/tool/boat) | 66,870 | +520.8% | Free Trial, Paid | Persistent Ubuntu cloud VMs built for AI agent factories | [.md](https://openaitools.app/tool/boat.md) | | 9 | [InsForge](https://openaitools.app/tool/insforge) | 60,257 | -11.3% | Freemium, Contact for Pricing, Free | Agent-native cloud infrastructure that lets coding agents run the whole backend stack | [.md](https://openaitools.app/tool/insforge.md) | | 10 | [Modelence](https://openaitools.app/tool/modelence) | 31,915 | -0.9% | Freemium, Paid | Production cloud on autopilot for full-stack and AI apps | [.md](https://openaitools.app/tool/modelence.md) | --- Source: https://openaitools.app/compare/createos-vs-exe-dev More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)