Revdoku vs AwardSpace

Revdoku and AwardSpace both provide a free way to put a website online, but their workflows are different. Revdoku publishes static files directly from ChatGPT, Claude, Codex, and other supported AI tools. AwardSpace is traditional control-panel hosting with PHP, MySQL, email, and an app installer.

This comparison uses AwardSpace’s official free-hosting page, checked on August 15, 2026.

Quick comparison

Capability Revdoku AwardSpace
Best for AI-created static websites, reports, and microsites Traditional PHP/MySQL sites and installed CMS projects
First publish Public 24-hour preview without signup Account and hosting setup required
Free sites One preview; Free account keeps up to 100 public sites Up to four websites: one domain and three free subdomains
Free capacity 25 MB preview; Free account has 5 GB shared storage and up to 1 GB/site 1 GB disk space and 5 GB monthly traffic
Custom domain on free tier One with a Free account One user-owned domain can be hosted
Backend support Static output; no PHP runtime PHP and MySQL
Site creation Ask an AI to publish files or a folder File manager, website builder, or CMS installer
Advertising No forced sitewide ad AwardSpace says its free hosting is ad-free
Free analytics Not included Hosting/account statistics are available; check the dashboard for the current scope

Choose Revdoku when

Choose Revdoku when an AI has already created the files and you want a live URL with minimal setup. No signup is needed for the first temporary preview, while a Free account makes sites permanent and supports one custom domain.

Choose AwardSpace when

Choose AwardSpace when the site needs PHP, a MySQL database, an email mailbox, or a one-click CMS installer. It resembles conventional shared hosting more than an AI publishing endpoint.

Key difference

AwardSpace gives you a classic hosting control panel. Revdoku removes the hosting setup step for static work generated by an AI. The better fit depends on whether you need server-side PHP or a direct publish action inside an AI workflow.

Sources checked

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