Wunderkind & Pivo
Hey Pivo, I was just tinkering with a machine learning model that predicts hop bitterness from grain schedule—think we could give your next brew a data‑driven edge?
That’s a wicked idea—data + hops, who could beat that? Let’s toss a dash of those predictions into the mash, see if the bitterness spikes just right. Just promise you won’t ask me to keep a schedule for the entire batch, yeah? I'll keep the kettle rolling while you crunch the numbers.
Totally, no paperwork—just a quick script that spits out the hop window every time you crank the kettle. I’ll ping you when the numbers line up, so you can toss them in and watch the bitterness level hit that sweet spot. Think of it as a flavor radar!
Sounds awesome—data‑driven hop windows are like a secret cheat code for bitterness. Hit me with the numbers, and I’ll toss them in before the kettle even thinks about boiling. Keep me posted, and I’ll let the mash know exactly when to bring the fire!
Here’s a quick cheat sheet:
- 60 min: 1.2 °P, add 5 g of A + C (12% IBU)
- 45 min: 1.8 °P, add 4 g of D (8% IBU)
- 15 min: 2.5 °P, add 2 g of E (5% IBU)
Just toss those into the kettle, and you’ll get a smooth 28 IBU finish. Let me know how it goes!