# exe.dev vs Ratio1

exe.dev records 60,103 monthly visits with -26.4% month-over-month growth and Freemium, Paid pricing. Ratio1 records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [exe.dev](https://openaitools.app/tool/exe-dev) | [Ratio1](https://openaitools.app/tool/ratio1) |
| :--- | :--- | :--- |
| Website URL | https://exe.dev | https://ratio1.ai |
| Categories | AI Developer Tools, AI Agent, AI App Builder | AI Developer Tools, Blockchain, No-Code&Low-Code, AI App Builder |
| Pricing Model | Freemium, Paid | Contact for Pricing |
| Monthly Visits | 60,103 | 0 |
| MoM Growth Rate | -26.4% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 40,778 | 0 |
| Review Score | 4.3 | 3.6 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## 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)

## Ratio1

Ratio1 describes itself as an AI operating system where the compute layer is decentralized and the incentive layer is on-chain. Instead of renting virtual machines from a single hyperscaler, workloads run as managed containers and native applications orchestrated across a network of consenting edge nodes spread over many countries. The project reports a mainnet protocol launch, a node-operator dApp, an explorer and a Uniswap liquidity pool, with a roadmap that has moved past 200 node licenses sold.

The product splits into two halves. Ratio1 DNA is the technical core — a decentralized neuro-symbolic autonomous processing framework with encrypted inference and learning (EDIL) at its center, aimed at keeping models and data private while still allowing distributed training and inference. On top of that sits a low-code app development layer and a marketplace of core apps, so teams can launch AI projects without deep infrastructure expertise.

Economically, the ecosystem runs on $R1, a utility token used to pay for GPU compute, provision resources and acquire licenses. Node Deeds are the ownership instrument: their price rises with demand, which the team frames as an anti-inflationary mechanism. The team stresses that $R1 is not a security and confers no profit or voting rights, and that certain jurisdictions are restricted from participating in license sales.

**Pricing & Plans:** Ratio1 publishes a detailed, token-denominated price table for its compute catalog rather than flat SaaS plans. Generic apps range from about $3/month for a MICRO worker (0.25 core, 0.5 GB RAM) up to roughly $375/month per ULTRA2 worker; services and native apps are priced separately, and GPU add-ons run from about $36/month for an entry-class RTX tier up to about $900/month for A100/H100-class hardware. A minimum of two workers is typically required for generic apps. Ratio1 states it takes no fees or commissions on deployments, and prices can shift with compute-market conditions.

- **Decentralized neuro-symbolic framework:** Ratio1 DNA is a distributed neuro-symbolic autonomous processing framework with encrypted inference and learning, designed to keep training and inference private across many nodes.
- **Low-code AI app development:** A low-code layer and a library of core apps let teams assemble and ship AI projects quickly, regardless of project scope or in-house infrastructure expertise.
- **Tokenized compute economy:** The $R1 utility token pays for GPU compute, resource provisioning and license acquisition across the ecosystem, with no platform fee taken on deployments.
- **Node Deeds operating licenses:** Anti-inflationary Node Deeds let participants link a license to a node and earn from contributing compute, with pricing that rises as demand grows.
- **Edge-node orchestration and hosting:** Managed orchestration for cloud-native containers and native apps, including TLS/HTTPS tunneling, endpoint certificates, distributed storage and in-memory databases.

**Strengths:** Genuinely differentiated architecture that fuses decentralized compute with token incentives; Transparent, itemized compute pricing published openly for every worker tier; Active development with a public roadmap, blog and shipped milestones; No platform commission taken on deployments, per the project's own statements

**Limitations:** Requires familiarity with tokens, wallets and node licenses, which raises the onboarding barrier; Compute prices are denominated in a volatile token and shift with market conditions; Restricted-jurisdiction list for license purchases limits availability for some users

[Profile (Markdown)](https://openaitools.app/tool/ratio1.md)

## Frequently Asked Questions

### How do exe.dev and Ratio1 compare in monthly traffic?

exe.dev has 60,103 monthly visits, while Ratio1 has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

exe.dev has a month-over-month growth rate of -26.4%; Ratio1 has 0%.

### How does pricing compare?

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. Ratio1: Contact for Pricing. Ratio1 publishes a detailed, token-denominated price table for its compute catalog rather than flat SaaS plans. Generic apps range from about $3/month for a MICRO worker (0.25 core, 0.5 GB RAM) up to roughly $375/month per ULTRA2 worker; services and native apps are priced separately, and GPU add-ons run from about $36/month for an entry-class RTX tier up to about $900/month for A100/H100-class hardware. A minimum of two workers is typically required for generic apps. Ratio1 states it takes no fees or commissions on deployments, and prices can shift with compute-market conditions.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.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 | [Lium](https://openaitools.app/tool/lium-io) | 58,483 | -13.9% | Paid | Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API | [.md](https://openaitools.app/tool/lium-io.md) |

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Source: https://openaitools.app/compare/exe-dev-vs-ratio1

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