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Aman Kumar • Peerlist

Automating LinkedIn has always been a risky game. Most tools use instantaneous DOM injections or cloud-based IPs that trigger LinkedIn's aggressive bot-detection algorithms, leading to account bans.LinkedIn Automator is different. It's a browser extension designed around safety and human-simulation.✨ Key Features:<ul><li>Auto-Connect: Bulk send connection requests using keyword targeting and deep DOM traversal.</li><li>Easy Apply Automation: Automatically fills job applications and gracefully handles unknown questions by saving them to your custom library.</li><li>Catch-Up Assistant: Auto-sends personalized birthday and work anniversary messages.</li></ul>🛡️ Why it's safe:<ul><li>Zero Cloud Routing: It runs 100% locally on your browser. No shady IP jumps.</li><li>Smart Limits &amp; Delays: Uses randomized sleep intervals and realistic interaction events (mousedown, mouseup) to mimic human behavior.</li><li>Single-Task Priority: Only one bot runs at a time to enforce mutual exclusion.</li><li>Tamper-Proof Sessions: Uses AES-256 encrypted payloads to ensure session integrity.</li></ul>Say goodbye to repetitive networking tasks without risking your profile. Give it a try and let me know your thoughts!

LinkedIn Automator

Developed a full-stack real-time anonymous messaging platform using the MERN stack (MongoDB, Express.js, React.js, Node.js) and <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Socket.IO">Socket.IO</a> for live communication. • Enabled users to chat anonymously with real-time updates, incorporating JWT-based authentication, bcrypt password hashing, and AI-powered smart message suggestions (Google Generative AI SDK). • Built a responsive UI with Material-UI, Framer Motion, and Redux for state management. • Integrated file sharing via Cloudinary, email notifications via Nodemailer, and data visualization with Chart.js. • Deployed on Vercel, ensuring a scalable and smooth user experience across devices.