UI

UI Library Creator

Hacker News

UI Library Creator

Hey HN! The "Generative" trend is booming, and UI Library Creator is our original approach to it. In the last three years, we have added 60+ professional UI libraries to Shuffle's catalog (Shuffle = visual editor for web developers). Still, we know we need more than this to satisfy our growing user base! That's why we created the UI Library Creator. In this tool, you can combine elements and styles to create unique UI libraries that work seamlessly with the Shuffle Editor and all its capabilities (drag-and-drop, customizations, live preview, and more). We provide you with UX solutions (components) written in Tailwind CSS and presets so you can quickly combine them to create what you need. You don't need to talk to a "black box" AI with a chat interface. Possible combinations are in gazillions. We aim for original creations, but you have complete control over the final effect. How to use the UI Library Creator: * Visit: https://shuffle.dev/library-creator * We recommend starting by selecting Assets and Copywriting for your target audience. * When these two options are locked, use the "Shuffle Styles" button to bootstrap your project with the first style. * If you like something, lock the category and then repeat shuffling. You can also change options manually, but with "Shuffle Styles," you can quickly see many creations. If you enjoy the final result, click "Publish now" and send your UI Library to Shuffle. Once processed, it will be available for use in your Dashboard. Let us know what you think! Video (2min) with product tour: https://www.youtube.com/watch?v=8ZFlWEDr7XM

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23comments
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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
89%89% 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: user, visual · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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