| What it does | AI-native forward deployed engineering software for enterprise customer deployments
| AI sales development representative for LinkedIn that researches profiles, sends connection requests, and answers replies from your own account
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| Stage | Startup
| Startup
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| Founded | 2025
| 2026
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| Based in | Not given
| NL
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| Pricing model | Freemium
| Freemium
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| Pricing | Free during launch for all plans. Developer: $0/month (1 customer, 2 environments). Startup: $249/month or $2,988/year (10 customers, 25 environments). Growth: $849/month or $10,188/year (75 customers, 150 environments). Enterprise: Custom pricing. If using Meetext's AI model, charged on usage at ap
| 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.
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| Key features | - Supports 14 enterprise destinations including Slack, Teams, ChatGPT, Claude, Salesforce, ServiceNow, HubSpot, Notion, Linear, Atlassian, Asana, Google Chat, Cursor and VS Code
- Personal data masking and usage budgets with kill switch
- Health checks, incident response and three-layer monitoring
- Customer-written acceptance criteria that rerun on each publish
- Hosted MCP endpoints and customer installation portals
- Cross-customer gap detection and pull request generation
- Permission-aware AI agent that requests confirmation before acting
| - 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
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| What makes it different | - Automates the repeatable deployment work that scales linearly with customer count, avoiding the need to hire more forward deployed engineers
- Priced per customer environment rather than by API traffic or usage volume
- Verifies changes only when customer-written acceptance criteria pass, not just when code is deployed
- Includes AI agent for common operational tasks but all changes require human confirmation
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ▲ +4 (up) since last check | 20 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 1 | 7 |
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| Citation Flow (Majestic) | 20 | 23 |
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| Referring domains (Majestic) | 7 | 22 |
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Meetext
SDR Pilot