Metanova AI drug discovery as competition

I worked through the raw data until I understood what each metric meant, then made the calls a spec would normally make: which metrics matter most, which can wait, and the clearest way to display each one. One rule shaped the product: never show a score without the reasoning that earns it. 

The Overview replaced a flat list of reactions, models and targets with a scannable narrative: how molecule libraries are built, which AI models compete to score them, and which protein targets are in play.

What used to be one dense scroll became a paced, epoch-by-epoch read: the winning molecule, why it won, and the field behind it each get their own moment.