This proceeding from the LHCP2023 conference summarizes analyses of heavy resonance searches in particle physics, conducted using 140 fb$^{-1}$ data from the ATLAS and CMS experiments at the LHC Run 2. Focusing on Beyond Standard Model (BSM) theories, various phenomena such as Two-Higgs-Doublet models, Heavy Vector Triplets, and vector-like quarks are explored. Employing advanced machine learning techniques and statistical methods, the analysis covers a range of final states. The results align closely with Standard Model predictions, setting stringent limits on the explored BSM theories.