| What it does | The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
| Your AI teammate that gets answers, follows up, and keeps people and AI agents moving together
|
|---|
| Stage | Not given
| Startup
|
|---|
| 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.
| 10 free tasks (no credit card required), then $29/month for 20 tasks (founding price for first 50 teams, held for first 12 months if subscribed by December 31, 2026, then $59/month). Extra tasks $6 each when enabled. The people Emily contacts never pay.
|
|---|
| 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
| - Works via email, Slack, and Discord without setup or inbox access
- Reaches people across companies without requiring them to install anything
- Remembers decisions and catches contradictions when plans change
- Respects privacy and context by default
- Coordinates work between people and AI agents on the same team
- Provides each team member private follow-through from shared messages
- Automatically follows up and waits through out-of-office periods
- Bundles decisions and updates to minimize interruptions
- Lets team members answer questions from collective memory without interrupting busy people
|
|---|
| 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
| - No setup required; just CC Emily on emails or add her to Slack/Discord
- Works transparently as a teammate with her own name, not as an anonymous automation
- Coordinates people and AI agents across company boundaries without requiring installations
- Keeps context separate by channel, conversation and privacy level automatically
- Remembers what was decided and catches contradictions to prevent miscommunication
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 3 ▲ +3 (up) since last check | 5 ● no change since last check |
|---|
| Trust Flow (Majestic) | 1 | 5 |
|---|
| Citation Flow (Majestic) | 18 | 28 |
|---|
| Referring domains (Majestic) | 4 | 59 |
|---|
Hypotize
Meetless