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Hypotize

The agent-native Growth OS that turns your AI agent into a disciplined growth hacker

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A framework and MCP server that gives AI agents the full stack of a growth hacker, with enforced experiment stages, scoring methods, and a shared record of

About Hypotize

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The Hypotize homepage

Hypotize is the agent-native Growth OS that equips AI agents with the complete framework and tools to run disciplined growth experiments. It provides enforced experiment stages, outcome measurement, and a shared record of learnings that both teams and agents can read and write. The platform includes an MCP server, three skills that teach agents the growth methodology, and a web app where teams review and collaborate on experiment backlogs, scoring with ICE, PIE, or RICE frameworks, pipeline status tracking, and documented results with evidence. Agents cannot close tests without measured results and written learnings, ensuring rigor in the experimentation process. The system works with major AI agents including Claude, ChatGPT, Grok Bot, and Cursor.

  • growth hacking
  • ai agent integration
  • experiment tracking
  • mcp-server
  • growth experiments
  • ice scoring
  • experiment learnings

Features worth knowing

  • 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

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.

Hypotize metrics

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Citation Flow18 no change since last check
Referring domains4 no change since last check
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Ahrefs Domain Rating scanned 26 Oct 2026, updated 26 Oct 2026. Main topic: Society/People (1). Majestic scanned 26 Oct 2026, updated 26 Oct 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Hypotize domain facts

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From the registry's public RDAP record, checked 26 Oct 2026, 02:50 UTC.
Domain age11 months
Registered
Expires
RegistrarNameCheap, Inc.
DNSSECNot signed

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FAQ

What is an agentic Growth OS?
The full stack a growth hacker works with, built for your AI agent. It includes a framework with the method, an MCP server with tools to read and update records, three skills that teach the agent the method, a plugin that installs it in Claude Code and Codex, and a web app your team works in. Unlike spreadsheet trackers, Hypotize enforces rules that the agent cannot break.
Which agents work with Hypotize?
Claude, ChatGPT, Grok Bot, Cursor, Codex, and any client that connects to a remote MCP server with OAuth. In Claude Code and Codex you can also install the plugin, which adds the three skills to the connection.
Does Hypotize work for CRO teams?
Yes. CRO teams use it for the work around each test: a backlog of test ideas, scoring with ICE or PIE, the stage of every test and an archive of results and learnings. Your A/B testing tool still runs the test and splits the traffic. Hypotize keeps what you tested, why you tested it and what it taught.
Do I need an AI agent to use Hypotize?
No, but that is where it pays off. The web app works on its own, with the same board, backlog and learnings. With an agent connected, the routine work moves to the agent: it finds what the team already tested, adds and scores ideas, moves tests through their stages and records outcomes. The app is where your team reviews that work.
What can a connected agent see and change?
Only what your own account and role allow. It cannot reach a project you cannot reach yourself, and every action goes through the same permission checks as the web app. Agents can vote in your framework, read scores, add ideas, move statuses, log interim readings as comments, and record outcomes.

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