Cloady vs ReadGZH: Which Is Better in 2026?

Cloady is a cloud application platform by NeptoLab for developers, small teams and agencies that want to run applications and databases together. It provides a workspace for deploying services, allocating resources and managing persistent storage without assembling a separate collection of hosting tools.

You can start with a GitHub repository, a Docker image from a public registry, an uploaded folder or a ready-made template. This makes Cloady useful for web applications, backend APIs, static websites, WordPress sites, internal tools and game servers. Applications can contain multiple services and volumes, so a website and its database can be managed as parts of the same application. Templates help users start with common software, while Docker images support custom application stacks.

The dashboard includes live logs, a browser terminal, file management and database tools. Custom domains and automatic HTTPS help turn a deployment into a publicly accessible application. Persistent volumes keep application data separate from the container image. Developers can also use the CLI, REST API and MCP integration to work from their terminal, automation or compatible AI assistants.

Pricing follows the CPU, RAM and SSD capacity declared by the applications. The free workspace allowance includes 0.5 vCPU, 1 GB RAM, 5 GB SSD and 200 GB of traffic. No payment card is needed to start. If any allowance is exceeded, the workspace's full configured capacity is billed; the free allowance is not deducted from paid capacity. The calculator provides Small, Medium, Large and Max presets at $6, $20, $65 and $120 per month, with configurable capacity between presets. Paid capacity includes unlimited network traffic. Optional managed backups add 20% to the resource price of backed-up apps.

Cloady is intended for people who need an application platform with understandable resource pricing and practical tools for day-to-day deployment work. Start small, inspect your application's services and storage needs, and adjust capacity as the project grows. The public homepage includes the deployment entry point, resource calculator and links to documentation.

What problem it solves

Cloady brings app deployment, databases, persistent storage, logs and a browser terminal into one workspace. Developers can ship and operate projects with capacity-based pricing instead of maintaining a separate hosting workflow for each component.

Alternatives & competitors

Alternatives developers may compare include Railway, Render, Heroku, Fly.io and DigitalOcean App Platform. Cloady focuses on apps and databases in a shared workspace with pricing based on declared CPU, RAM and SSD capacity.

ReadGZH helps AI assistants work with public WeChat Official Account articles. If an assistant cannot open an mp.weixin.qq.com link directly, the web reader provides a readable version of the article. The same capability is available through a REST API and a hosted remote MCP, so developers can use it in an Agent workflow rather than repeatedly moving article text by hand.

There are two practical ways to begin. For an occasional article, open the website and paste its public link into the reader. For repeated use, configure the Agent with the documented API or MCP connection, then give it article links as part of normal research tasks. The setup can be reused for later articles. The documentation explains the available interfaces and how to connect them to an assistant.

The returned content can be read as HTML or Markdown. This makes it useful when collecting material for a research note, comparing the arguments in several articles, or asking an assistant to summarise a source. ReadGZH supplies article content; the assistant using that content performs the analysis or summarisation. A reader should still check important statements against the original article and retain its source link when sharing a summary.

Search has a specific scope: it covers articles already present in the cache. It is not a search engine for every WeChat account or the entire WeChat archive. Keep that distinction in mind when planning a workflow that first searches for sources and then reads them.

The service offers a limited free allowance and optional paid credits. That provides a way to try the reading workflow before deciding whether it fits ongoing use. It should not be described as unlimited free access. Current usage details and setup instructions are on the official website and documentation.

Typical users include developers building Chinese-language research Agents and people who regularly ask an AI assistant to analyse public WeChat articles. Start with one article, inspect the readable result, and then choose between the browser reader and a reusable Agent connection.

Official documentation: https://readgzh.site/docs
Source repository: https://github.com/sweesama/readgzh