| What it does | The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
| An AI agent with its own cloud and wallet
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
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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 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
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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
| - Real files, real commands, web access, and browser beside the chat
- Memory written to disk as plain text you can edit and delete
- Auto mode with safe judgment on your own model
- Delegate work to helper agents sharing a task list
- Chat apps: Telegram, Discord and Slack integration
- Support for MCP servers, plugins and IDE integration
- Cloud tasks that keep running after you close the app
- Services that stay online with scheduler, webhook and watcher
- Web apps with their own live link at letronna.si
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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
| - Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model
- Starts in 7.65 ms with 84% on Harness-Bench
- Plain text memory files you can edit, not a black box
- Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted
- Pay only for hosted models and cloud compute, not per seat
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 19 ▼ −1 (down) since last check | 20 ▲ +2 (up) since last check |
| Trust Flow (Majestic) | 1 | 0 |
| Citation Flow (Majestic) | 18 | 0 |
| Referring domains (Majestic) | 4 | 0 |