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Build a LinkedIn automation platform

1 month ago

Lahore, Punjab, Pakistan Web Care House (Pvt) Ltd Full time

1 day ago Be among the first 25 applicants

We are seeking a highly skilled development team or freelance professionals to build a LinkedIn automation platform similar to Prosp AI, with a strong focus on AI-driven personalization, automation, and scalability. The platform will help users automate their LinkedIn outreach campaigns with personalized messages, voice notes, and lead generation features, among other functionalities.

Project Overview:

We are seeking a highly skilled development team or freelance professionals to build a LinkedIn automation platform similar to Prosp AI, with a strong focus on AI-driven personalization, automation, and scalability. The platform will help users automate their LinkedIn outreach campaigns with personalized messages, voice notes, and lead generation features, among other functionalities.

Key Features to Include:AI-Powered Personalization:
  • Develop an AI engine that analyzes prospect data and social activity to generate personalized messages and outreach strategies.
  • Include personalization capabilities for text-based messages and voice notes.
  • Use natural language processing (NLP) to improve message relevance and response rates.
Voice Note Automation:
  • Implement voice cloning or voice synthesis technology to enable automated personalized voice messages.
  • The system should allow for the seamless automation of sending voice notes through LinkedIn messages.
Lead Discovery & Enrichment:
  • Create tools to search for leads based on specific criteria (e.g., job title, company, location, etc.).
  • Integrate third-party APIs or LinkedIn's own API for lead enrichment (company info, social activity, job history).
  • Include features like importing leads from LinkedIn groups, posts, and events.
Campaign Management & Automation:
  • Build a visual campaign builder that allows users to create multi-step automation sequences, including connection requests, messages, InMail, etc.
  • Enable A/B testing for campaign optimization and automatic follow-ups.
Multi-Account Management:
  • Implement the ability for users to manage multiple LinkedIn accounts under a single dashboard.
  • Provide a unified inbox for managing conversations across multiple LinkedIn profiles.
Safety & Compliance Features:
  • Implement residential proxies to protect user accounts from being flagged by LinkedIn.
  • Include features to automate action limits to ensure user accounts don't exceed LinkedIn's usage thresholds (daily message limits, connection requests, etc.).
  • Account rotation and anti-detection features to make sure automation feels human-like.
Reporting and Analytics:
  • Provide real-time analytics and reporting dashboards for campaign performance.
  • Include metrics like open rates, response rates, conversion rates, and the number of connections made.
Admin and User Management:
  • User authentication, permissions, and roles management.
  • Admin dashboard for managing users, campaigns, and settings.
Tech Stack Requirements:Frontend:
  • React.js or Vue.js for a fast, dynamic, and responsive user interface.
  • Redux or similar state management for handling application state.
Backend:
  • Node.js or Python (Flask/Django) for server-side logic.
  • REST API or GraphQL for communication between the front end and back end.
  • MongoDB, PostgreSQL, or MySQL for database management.
  • Integration with LinkedIn API for lead discovery, messaging, and connection requests.
AI & Automation:
  • Integrate AI-based tools for message generation (GPT models, Hugging Face, or OpenAI API for NLP).
  • Use machine learning algorithms to improve the personalization of outreach and follow-ups.
  • Voice note automation integration using text-to-speech libraries (e.g., Google Cloud Text-to-Speech, Amazon Polly, etc.).
Proxy and Anti-Detection:
  • Integrate residential proxy solutions for managing LinkedIn accounts without IP flagging.
  • Implement rate-limiting and actions like randomization to simulate human behavior.
Security:
  • Secure data encryption, especially for sensitive user data.
  • OAuth or other secure methods for LinkedIn authentication.
Scalability:
  • The platform should be able to handle thousands of LinkedIn profiles without performance degradation.
  • Ensure scalability for future growth by using cloud platforms like AWS, Azure, or GCP.
Deliverables:
  • Fully functional platform with all features described above.
  • AI-powered message personalization and voice note automation.
  • Ability for users to create and manage multiple LinkedIn accounts, and schedule/automate outreach campaigns.
  • User authentication, dashboards, and reporting systems.
  • Integrated with LinkedIn's API for lead discovery, messaging, and actions.
  • Proxy management system to ensure safety for LinkedIn accounts.
  • End-to-end testing, debugging, and bug fixes.
  • Deployment and hosting on cloud infrastructure (AWS, GCP, Azure, etc.).
  • Documentation for code and usage of the platform.
Budget & Timeline:
  • Budget: Open for discussion based on experience and proposal. Please provide an estimate after reviewing the project scope.
  • Timeline: Please provide an estimated timeline for project completion (with clear milestones and deadlines).
Preferred Skills & Experience:
  • Proven experience in building automation platforms, particularly for social media platforms like LinkedIn.
  • Expertise in AI and machine learning technologies (NLP, personalization, text-to-speech).
  • Experience working with LinkedIn's API and automation compliance.
  • Familiarity with proxy solutions and automation best practices for social media platforms.
  • Ability to create intuitive user interfaces and optimize for user experience.
  • Strong knowledge of security and data privacy best practices.
How to Apply:

Please include the following in your proposal:

  • Relevant experience and examples of past work related to LinkedIn automation or social media tools.
  • A breakdown of the proposed technology stack.
  • A high-level approach to building the platform, including the AI integration and automation features.
  • Your estimated budget and timeline for the project.
  • Any suggestions or improvements you would recommend for this platform.
Seniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesIT System Custom Software Development

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