| What it does | The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
| Ready-made AI business workspaces, run by AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | US
| US
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| Pricing model | Not given
| Freemium
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| 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 available. Personal plan $20/month. Pro plan $49/month. Enterprise available on contact. Some templates have a one-time purchase price. Model and tool usage charged separately. Self-hosted source-available edition requires user to cover hosting and model costs.
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| 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
| - Workspaces that keep goals, sources, agents, results and feedback together
- Agents with defined roles and reusable skills
- Answers and drafts with source citations from your knowledge base
- Scheduled runs for recurring work
- Configurable permissions, approval rules and activity logs
- Connections to Gmail, Slack, Notion, WhatsApp and Discord
- Workflow templates and installable workspace Blueprints
- Managed cloud and source-available self-hosted edition
- PowerPoint slide deck generation from notes and briefs
- Free 30-minute AI consulting session
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| 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
| - Persistent workspace where work history, goals and configuration stay together across recurring runs
- Reusable setup means you configure once instead of rebuilding for each request
- Creator Marketplace allows creators to package and sell installable workspace Blueprints
- Built for small teams and solopreneurs, not enterprises
- Data encrypted in transit and at rest, never used to train models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ▲ +3 (up) since last check | 4 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 18 | 24 |
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| Referring domains (Majestic) | 4 | 33 |
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