ZestUI – UI Kit for Ruby on Rails Styled with Tailwind

Hacker News

Hello! I'm excited to share something I've been working on: ZestUI, a UI kit crafted for Ruby on Rails. As a long time Rails dev, I've increasingly felt that, this is one area other ecosystems have leapfrogged Rails. You had to bring together disparate elements - UI libraries, Stimulus Controllers, Icon Libraries and none integrated deeply with Rails. Working on Rails models or controllers are a joy compared to working on views. "It shouldn't be this difficult" was the voice in my head and that is what led to ZestUI. Built with Phlex, styled with Tailwind with custom built Stimulus controllers. It's got - 25 themes - Dark Mode - Form Builder - Icons - Built in Flash Toast - The components are responsive or have specific mobile views - All the JS needed (Stimulus controllers) is wired up automatically Phlex is a game changer. It is simple, powerful, intuitive and performant. I will never ever write a component as a partial/ViewComponent again. Site: https://zestui.com/ A short video (50 seconds) showing it off: https://youtu.be/OQmDZddLtR8 I'd love to hear what you think

Visit product View on Hacker NewsDec 11, 2023

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3points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: intuitive, builder · Missing: plus, platform, reviews

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide · Missing: https docs, just released, exist

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: video, para · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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