A sophisticated, production-grade LinkedIn automation tool designed for high-scale networking. It operates as a full-stack system with a local SQLite database for data persistence and a Dockerized backend that runs 24/7 in the background. The system features a unique visual monitoring layer using VNC/noVNC, allowing users to watch the automation live in a browser even while running headlessly in a container. It includes a suite of Windows .bat scripts for one-click deployment, backups, and management.
Creating a reliable, 24/7 automation system that remains observable and manageable for non-technical users while maintaining high security.
The project features a highly flexible configuration engine that allows real-time adjustment of operational parameters via a React dashboard. Users can define strict 'Working Hours' (e.g., 09:00-18:00), set daily safety limits (default 10 invites/day), and configure human-like randomized timeouts (default 4-7 minutes between actions). The system includes a sophisticated template manager that supports dynamic variables ({{name}}, {{company}}, {{search}}) for both connection notes and multi-stage outreach messages. All settings are persisted in a local SQLite database, ensuring the bot maintains state and respects safety constraints even after restarts.
I'm always open to discussing new projects, creative ideas or opportunities to be part of your visions.
