Going forward, high-throughput screening will continue to be essential for discovering new types of inverted singlet-triplet gap molecules. Improved algorithms must be explored further to enable the screening of more molecules in an efficient manner. Recently reported examples of such includes screening using neural networks and by application of computationally cheaper simplified theoretical models. In this way bigger haystacks can be screened to find the needles needed to expand the chemical palette and provide further intuition in the design of molecules with inverted singlet-triplet gaps.