Aaryan Singh

Problem 1: Engagement Over Expertise Algorithms are designed to maximize engagement, not credibility. As a result, those who generate instant reactions are rewarded, while those with deep, lasting expertise struggle to gain visibility. There is no framework to measure how well someone maintains their credibility over time. Problem 2: Outdated & Static Rankings Existing ranking systems fail to adapt dynamically to evolving trends. Short-term viral figures outrank industry leaders who have spent years building credibility. This creates an imbalanced ecosystem where short-lived hype overshadows real influence. Problem 3: No Cross-Platform View Currently, there is no system that consolidates influence across multiple platforms. Credibility is evaluated in silos—Twitter, Instagram, LinkedIn, and YouTube operate independently, making it impossible to form a comprehensive influence score that reflects a person’s real impact across digital spaces. Problem 4: Fake Fame, Fake Engagement Purchased likes, followers, and engagement distort rankings, giving an inflated sense of influence. With no reliable verification method, it becomes difficult to distinguish genuine influencers from those who manipulate numbers. The absence of robust detection mechanisms allows fake engagement to thrive unchecked.