Expo Playground – Open-source React Native components and screens

Hacker News

Open-source Expo playground to serve as starting point or just playground for React Native projects. The Tech Stack: - Framework: Expo - Styling: NativeWind v4 (Tailwind for Native). - Animations: Reanimated Components and screens: - Product tooltip - Glassy dropdown - 3D Card flip - Expandable image tabs - Product grid with animated filters - Theme carousel & picker - Onboarding introduction slider - Toggle switch - Parallax scroller - Weather app interface - Masonry/Staggered grid - Card counter - Earnings chart - Expandable video card - Bottom bar switcher - Journal cards

Visit product View on Hacker NewsJan 29, 2026

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

66%66% predicted probability of success on Indie Hackers, 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

52%52% 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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

25%25% 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

19%19% 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

19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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