Hypotize vs Onlay

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Hypotize compared with Onlay
Detail	Hypotize	Onlay
What it does	The agent-native Growth OS that turns your AI agent into a disciplined growth hacker	Publish documents for feedback, pull edits and comments back into your agent
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	GB
Pricing model	Not given	Not given
Pricing	Free: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects.	Free plan: $0, up to five active documents, documents up to 4 MB, 1 GB storage, last ten versions restorable, invite up to ten people per document. Pro plan: $10 USD per month (billed as $120 per year) or $12 USD per month (billed monthly), unlimited active documents, documents up to 16 MB, 50 GB st
Key features	Complete experiment backlog with candidate ideas Status tracking from idea to outcome Shared experiment learnings across team and agents ICE, PIE, RICE scoring frameworks with voting Enforced experiment stages with mandatory results and learnings MCP server for AI agent read and write access Skills that teach agents the methodology Plugin for Claude Code and Codex Web app for team review and collaboration OAuth security with granular permissions	Publish HTML or Markdown files with shareable links Readers can leave comments and edit text with author permission Pull edits and comments back as structured data MCP server for agents without file or command access Custom share links with passwords and expiry dates on Pro Version history with restore capability Publish entire folders as sites on Pro plan Connect to external APIs and embed sites on Pro
What makes it different	Agents cannot bypass the method: tests cannot close without measured results and written learnings Enforced workflow prevents confident guesses and invented wins Shared memory ensures experiments are never repeated and evidence is preserved Agents read and write to the same record as teams under identical rules Data stays in EU on Hetzner servers in Finland	Documents stay active at stable links across multiple published versions Works natively with AI coding agents without requiring manual context management CLI does not require Node, Python or other runtime dependencies Screenshots in comments are listed by ID and only fetched on request
Community votes	0	0
DR (Domain Rating by Ahrefs)	19 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	1	0
Citation Flow (Majestic)	18	0
Referring domains (Majestic)	4	0

5 details filled in for both companies.

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