  The traditional clustering analyses of galaxy redshift surveys compress the
clustering data into a set of late-time physical variables in a
model-independent way. This approach has recently been extended by an
additional shape variable encoding early-time physics information. We apply
this new technique, ShapeFit, to SDSS-III BOSS data and show that it matches
the constraining power of alternative, model-dependent approaches, which
directly constrain the model's parameters adopting a cosmological model
ab-initio. ShapeFit is $\sim30$ times faster, model-independent, naturally
splits early- and late-time variables, and enables a better control of
observational systematics.
