| What it does | AI sales development representative for LinkedIn that researches profiles, sends connection requests, and answers replies from your own account
| Lead armies of AI agents sanely
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| Stage | Startup
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| Founded | 2026
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| Based in | NL
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| Pricing model | Freemium
| Freemium
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| Pricing | Pro: $97/month for 1 sender; Agency: $297/month for 10 client workspaces; Agency Unlimited: $497/month for unlimited client workspaces. Extra senders: $47/month (Pro), $37/month (Agency), $27/month (Agency Unlimited). 14-day free trial on all plans.
| Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
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| Key features | - Six lead sources: connection requests, profile viewers, post engagers, niche posts, people search, and existing connections
- Profile research and ICP scoring before sending requests
- Up to 20 connection requests per day with gradual warm-up
- AI-written replies from playbook and profile context
- Take over conversations at any time
- MCP server and API on every plan for agent control
- Dedicated residential IP per sender in user's country
- Unified inbox for all conversations with lead management
| - Hierarchical agent trees with parent-child delegation and coordination
- Container-isolated agent environments with Linux shell and persistent filesystem
- Persistent agent memory and context between runs
- Cron-based scheduled execution with overlap handling
- Shared /shared folder for cross-agent file collaboration
- Support for 30+ AI models from multiple providers
- Web IDE with terminal access and five editor themes
- Static site dashboards built and maintained by agents
- Voice input and file attachment support
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| What makes it different | - Runs on your own LinkedIn account and session, not a separate profile
- Researches and scores every profile before sending, not template-based campaigns
- Driven by your own AI agent over MCP, not just manual control
- Holds real conversations from playbook, not drip sequences
- Founder's own account has run continuously since June 2026, proving safety design
| - Agentic tree structure where agents collaborate and share context unlike stateless tools
- Fully isolated Linux containers for each agent with persistent filesystems
- Persistent memory and context continuity across scheduled runs
- Mix and match 30+ AI models freely within the same team
- Pricing per fleet rather than per seat or per token overage
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 20 ▲ +1 (up) since last check | 31 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 0 |
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| Citation Flow (Majestic) | 23 | 30 |
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| Referring domains (Majestic) | 22 | 115 |
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SDR Pilot
Taurus