| What it does | AI co-founder team for solo founders that runs operational work while you own the business
| The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
|
|---|
| Stage | Startup
| Not given
|
|---|
| Founded | 2026
| Not given
|
|---|
| Based in | AE
| US
|
|---|
| Pricing model | Not given
| Not given
|
|---|
| Pricing | Free during early access (full product unlocked, no credit card required). Core plan: $200/month (from idea to real users, full AI co-founder team, campaign execution, website building, roadmap management). Operator plan: $500/month (Core features plus autonomous recurring work execution, Founder Bo
| 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.
|
|---|
| Key features | - Seven specialized AI co-founders (Chief of Staff, Ops, Tech, Product, Marketing, Growth, Mentor)
- GitHub repository integration and code analysis
- Governed autonomy with approval gates on publishing, spending, and major actions
- Connected stack integration (Slack, Gmail, Notion, Linear)
- Persistent memory across sessions and cross-agent coordination
- Document upload and live URL connection for context building
- Self-healing bug tracking and fast deployment
- Research, document generation, asset creation, and scheduling
| - 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
|
|---|
| What makes it different | - Named, role-specific AI team (not generic agents with prompts) for coordinated business decisions
- Governed autonomy model keeps you in control while reducing manual execution work
- Built by operators with proven GTM and product leadership experience, not AI-only researchers
| - 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
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 5 ● no change since last check | Not checked yet ● no change since last check |
|---|
| Trust Flow (Majestic) | 1 | 1 |
|---|
| Citation Flow (Majestic) | 15 | 18 |
|---|
| Referring domains (Majestic) | 12 | 4 |
|---|
VenturOS
Hypotize