A Digital Twin of my coffee roaster that runs in the browser
I built this website to host a data-driven model of my coffee sample roaster. I realized after 20 or so batches on the machine that while the controls are intuitive (heat, fan, and drum speeds), the physics can be unintuitive. I wanted to use my historical roast data to create and tune a model that I could use to do roast planning, control, and to help me build my own intuition for roasting. This website lets you interact with my roaster in a virtual, risk-free setting! The models are custom Machine Learning modules that honor roaster physics and bean physics (this is not…
A Digital Twin of my coffee roaster that runs in the browser launched on October 6, 2025 with 157 votes, #182 of 8,178 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
A Digital Twin of my coffee roaster is a browser-based simulator that models a sample coffee roaster using machine learning trained on real roast data. It lets users practice roasting virtually without risk by adjusting heat, fan, and drum speeds to understand how these controls affect the roasting process. The custom ML models incorporate roaster and bean physics rather than using general-purpose AI. Designed for coffee enthusiasts and roasters seeking to improve their technique through experimentation and intuition-building in a safe, risk-free environment.
written from the facts on this page · September 2026
From the sources
Physics-informed models that capture the unique thermal characteristics of your roaster and beans. Predict outcomes before you roast. Multi-layer visualization workspace. Compare roasts, overlay simulations, and explore your data in ways that traditional software can't. AI-powered recipe creation tailored to your roaster and beans. Specify your target profile and let AutoRoaster design the path. Modern tools for modern roasters. Track, analyze, and learn from every roast with a platform built for the data age. See the future of your roast. Real-time simulation shows where your current trajectory will lead before you get there. Train roaster and bean models on your data. The more you use it,…from autoroaster.com
In the maker’s words, at launch
I built this website to host a data-driven model of my coffee sample roaster. I realized after 20 or so batches on the machine that while the controls are intuitive (heat, fan, and drum speeds), the physics can be unintuitive. I wanted to use my historical roast data to create and tune a model that I could use to do…
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