A Minimalist Coffee Bean Rating System Built with Go and Htmx
Hey HN! After years of experiencing hit-or-miss coffee bean purchases, I built a simple solution to crowdsource coffee bean ratings. The problem is straightforward: buying new coffee beans is a gamble, and with rising prices, a bad bag is both disappointing and costly. The solution is a no-frills web app built with Go, HTMX, and Tailwind CSS. No accounts required, no JavaScript frameworks, just a simple 5-star rating system for coffee beans. Technical Stack: - Backend: Go - Frontend: HTMX + Tailwind CSS - No user accounts (intentionally) - Progressive web app I deliberately chose HTMX over a…
A Minimalist Coffee Bean Rating System Built with Go and Htmx launched on February 6, 2025 with 7 votes and more than 75% of that year's launches.
What it does
In the maker’s words, at launch
Hey HN! After years of experiencing hit-or-miss coffee bean purchases, I built a simple solution to crowdsource coffee bean ratings. The problem is straightforward: buying new coffee beans is a gamble, and with rising prices, a bad bag is both disappointing and costly. The solution is a no-frills web app built with…
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htmgo - build simple and scalable systems with golang + htmx2024 · htmgo.dev · ▲166Hey all, I just wanted to share a project I've been working on for the past month. After years of heavy frameworks, I really like the idea of using htmx, but it’s a little too low level for me and needs a thin layer above it to facilitate things like components, better syntax with complex JS inside of an attribute, etc To try and solve this problem with a very minimal stack (golang + htmx) that I've been really enjoying, I'm building this project to cater to my needs and was thinking it would be useful for other developers.
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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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