First-order reversal-curves (FORC) are a widely used tool to analyze magnetic mineralogy and domain states, but require extensive processing -- in particular smoothing -- to be plotted as FORC diagrams. Currently, smoothing is a computationally complex task involving repeated least-squares surface optimization routines, sometimes taking minutes to compute for high-resolution FORCs (leaving users with the feeling of ``waiting for Godot'', who never comes). Here we show how the same computation can be carried out much more efficiently in Fourier space and present a new FORC processing software, called Forcot. The new algorithm, combined with an improved user-interface enables users to create print-quality FORC diagrams within a few seconds. Processing times are shown to be reduced by factors from 2 to 100 depending on size and smoothing factor (SF) compared to existing FORC smoothing algorithms. Additionally, optimal SF can be determined directly from the noise spectrum in Fourier space and does