In the present work, we consider an alternative formulation of TDDFT in which broadband spectra are simulated via solution of the time-dependent Kohn-Sham (TDKS) equation, in what is sometimes called "realtime" TDDFT. This is potentially attractive for XAS because the requisite computational resources are independent of the number of excited states. Instead, the spectrum is obtained via Fourier transform of the dipole autocorrelation function following sufficient time propagation of complex-valued molecular orbitals (MOs). The total memory requirement scales as O(o 2 ), as in groundstate DFT. The computational resources do depend on the energy regime of interest, as a smaller integration time step (∆t) is required to reach higher excitation energies because these correspond to higher-frequency Fourier components of the signal. That said, for large systems the finite-∆t error may be more easily controllable as compared to errors engendered by truncation of the excitation space in LR-TDDFT, because the former can be reduced with smaller time steps and longer propagation times whereas enlarging the excitation space may encounter hardware (storage) limitations.