I recently developed AntiCollab, an AI-powered system designed to streamline the management of sponsorship emails for creators and founders.
As inbox volumes increase, sponsorship requests often become difficult to identify and manage. This solution automates the classification and organization of incoming emails, significantly reducing manual effort while improving visibility and response efficiency.
The system enables automated detection of sponsorship-related emails, structured data storage with real-time synchronization, and a centralized dashboard featuring message previews, one-click archive and unarchive functionality, and light and dark mode support. It is built using Gmail integration, n8n for workflow orchestration, OpenAI for intent-based classification, and Supabase for data storage, alongside a custom frontend developed with Next.js, TypeScript, and Tailwind CSS. Claude AI was utilized to assist with end-to-end UI/UX development.
Planned enhancements include the integration of Retrieval-Augmented Generation (RAG) to leverage historical collaboration data and brand insights, enabling AI-assisted evaluation of partnership fit and response strategy.
This project is shared as part of building in public, and feedback or discussion is welcome.