Hypotize vs spacesheep

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 spacesheep
Detail	Hypotize	spacesheep
What it does	The agent-native Growth OS that turns your AI agent into a disciplined growth hacker	Shared workspace for teams and AI agents to create, collaborate and publish visual content
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Not given	Freemium
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 (unlimited signatures, 200 files, 25 MB per deploy, 60 web searches per day, 7M tokens per month); Pro $4.50/month (12,000 files, 2 GB per deploy, 20M tokens per month, 2× longer pages, unlimited signatures); Max $9/month (50M tokens plus 8M on Claude Opus, voice, stacks, streams); Team $10/mem
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	AI generates visual spaces, dashboards and interactive designs from prompts Real-time collaboration with comments and version history Integrates with multiple AI models including Claude, ChatGPT, Gemini, Grok and Cursor Live data streaming from servers and services into spaces Built-in search powered by former Pinecone engineers Auto-sync to Google Drive or GitHub for data ownership Voice control to run spacesheep by voice Stacks feature to auto-organize pages into collections CRMs, forms and tools that teams edit together without servers
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	Full data ownership—every space syncs to your own Google Drive or GitHub Real-time AI-powered collaboration where agents update spaces while teams watch and comment
Community votes	0	0
DR (Domain Rating by Ahrefs)	3 +3 (up) since last check	26 −1 (down) since last check
Trust Flow (Majestic)	1	11
Citation Flow (Majestic)	18	31
Referring domains (Majestic)	4	56

4 details filled in for both companies.

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