
BrewMind
AI pour-over recipes built around your specific bean
What it does
Every time you open a new bag of specialty coffee you're starting from scratch — guessing grind, temp, bloom, pour sequence. BrewMind fixes that. Scan your bag, upload a photo, or type the coffee name. The engine reads origin, process, roast, and tasting notes — then generates a complete recipe built around that specific bean. Not a template. A recipe for your exact coffee. Guided brew timer for manual brewers. One-tap export to xBloom. Every brew logged makes the next recipe more accurate.
Does the same job
all alternatives →- WRWe're two coffee nerds who built an AI app to track beans and recipes2025 · beanbook.app · ▲60
It’s available on iOS now: https://itunes.apple.com/app/id6499280064 We got into specialty coffee during COVID and, like many others, fell deep down the rabbit hole. Along the way, we ran into the same frustrations: - A drawer full of empty coffee bags. - No simple way to track grind size, rest dates, notes—by bean. - My coffee history scattered across photos, screenshots, notebooks, and half-memories. - The unique traits, people, and stories behind each coffee disappearing from the internet once it sold out (since coffee is an agricultural good) - In our opinion, no…




- ADA Digital Twin of my coffee roaster that runs in the browserOct 2025 · autoroaster.com · ▲157
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…
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the whole month →
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With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
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