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Supertweak – a visual devtools extension for Tailwind CSS

Hacker News

Supertweak – a visual devtools extension for Tailwind CSS

Hi folks, I've been working on a visual devtool chrome extension for Tailwind CSS for quite some time now and just launched in recently. It let's you tweak your website from the browser itself and copy the classes or html afterwards to paste in your IDE. It's especially well suited to try out changes quickly, but I've built most of the landing page with the help of the extension itself. You can try it out in the landing page itself (no need to install anything). Features: - Click on any class (eg: px-4) and try out other values easily. - Preview the website in responsive mode and quickly toggle between breakpoints. auto detects breakpoints set in the config. - Quickly try out new variants. Supports arbitrary variants too. - Lets you try out arbitrary and negative property values. - Add, remove or re-order elements. - Edit element attributes and text nodes etc. I'm excited to share it here and would love to hear your feedback and suggestions.

Visit product View on Hacker NewsNov 9, 2022

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best fitHighest predicted score across all platforms for this description.

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

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

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

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

42%42% 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 · Missing: mobile apps, ios, personal

23%23% 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

16%16% 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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