TrendMD, founded in 2014, enhances content discovery for researchers and publishers by providing personalized recommendations based on user behavior across over 5,000 scholarly websites. The platform uses collaborative filtering and has been shown to significantly increase article citations and reader engagement, outperforming traditional sources. Case studies demonstrate its effectiveness in driving author submissions and healthcare professional signups through targeted campaigns and referrals.