Changelog

Infrastructure & UI Overhaul - Completely redesigned our backend infrastructure for better scalability and performance. Launched a refreshed user interface with improved navigation, modern design patterns, and enhanced user experience across all platforms.

Enhanced AI Rules Engine - Significant improvements to our AI content analysis and scoring algorithms. Enhanced sentiment analysis accuracy, better keyword detection, and more sophisticated content categorization rules for improved relevance and precision.

Knowledge Base Feature - Introduced comprehensive Knowledge Base functionality allowing users to create, organize, and manage internal documentation. AI-powered content suggestions based on your organization’s knowledge repository and automatic tagging for easy retrieval.

Multi-Channel Publishing - Added support for Telegram channels, WhatsApp Business, and WordPress blog publishing. Users can now automatically distribute AI-generated content across messaging platforms and blog channels with platform-specific formatting and optimization.

Positive/Negative Keyword Filtering - Implemented advanced keyword filtering system allowing users to define positive keywords (content to prioritize) and negative keywords (content to exclude). This feature enhances content relevance and helps focus on the most important topics for your organization.

First POC Release - Successfully launched our first proof-of-concept version of MediaInsight. This initial release included core media monitoring capabilities, basic AI content analysis, and fundamental content generation features. The foundation was set for transforming media monitoring into automated publishing channels.

Project Kickoff - MediaInsight project officially started! Initial team formation, technology stack selection, and project planning phase completed. We began our journey to revolutionize media intelligence with AI-powered automation and multi-channel content distribution.