| What it does | The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
| Autonomous AI agents that plan, execute, and deliver work without setup or babysitting
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| Stage | Not given
| Startup
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| Founded | Not given
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| Based in | 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: $0/month with unlimited projects and tasks plus $2 of agent work to get started, no credit card required. Starter: $39/month with $50 of agent work monthly and up to 6 AI agents. Pro: $99/month with $120 of agent work monthly and unlimited agents, marked as most popular. Enterprise: custom pri
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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
| - Create agents by describing their role in natural language; Tulsk automatically builds them with the right skills, tools, and schedules
- Agents run continuously in the cloud on schedules, events, mentions, or connected channels without user intervention
- Memory system that learns preferences and project context, separated between personal and team-shared knowledge
- Reusable skills that agents follow consistently without re-explanation across the entire team
- Approval system for writes to connected apps and new connections before agents act
- Connect Slack, Telegram, or WhatsApp for agents to receive and respond to messages with the team's preferred communication tools
- Real workspace files created by agents with live preview; files persist even when the workspace computer sleeps
- Mac desktop app for quick access via keyboard shortcut to chat, inbox, and workspace in any application
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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
| - Agents run autonomously in the cloud without requiring setup, configuration screens, or DevOps knowledge
- Integration with any HTTP API, MCP server, or internal company API without agents being limited to one suite
- Reusable skills and shared knowledge layer allow teams to teach patterns once and have all agents follow them consistently
- Free tier with unlimited projects and tasks plus $2 of agent work lets teams start and explore without credit card commitment
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 3 |
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| Citation Flow (Majestic) | 18 | 30 |
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| Referring domains (Majestic) | 4 | 122 |
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Tulsk