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AnimBits – 50 Framer Motion–powered animation components for React

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AnimBits – 50 Framer Motion–powered animation components for React

Hi everyone, I’ve been working on AnimBits, a collection of 50+ animation UI components, animation hooks , transitions for React built on top of Framer Motion. feedback is appreciated The goal is to provide clean, subtle, production-ready animations that can be dropped into any React project without the usual setup overhead. All components are designed to be accessible, minimal, and easy to customize. Features 50+ components: buttons, cards, text effects, loaders, lists, icon animations, page transitions, and more Built entirely with Framer Motion Subtle, non-flashy effects suitable for production UI Works via simple copy-paste or installable using shadcn UI registry npx shadcn add https://animbits.dev/r/buttons-lift.json Fully typed with TypeScript MIT licensed

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% 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: using · Missing: mac, agents, macos
82%82% 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
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% 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
43%43% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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