Free – Fastest Way of ReactNative to AppStores with GitHub Actions

Hacker News

Hey HN, I made a tutorial that'll help you get your React Native (or Expo – coming later this week) app into the Apple AppStore and Google Play, automatically, by using GitHub Actions. It comes with a free app on GitHub that serves as a template: - React Native CLI (Expo soon), - Refined to support dev/stage/prod environments, - Configurable from the env vars. The Speedrun will help you step-by-step: - define the Configuration, - create the Apps in AppStores, - create Code Signing (Certificates, Provisioning Profiles for iOS; Upload Key for Google Play), - define the minimal Workflow on GitHub. There's also a free tool to manage versioning. This is the very first version and I'll be adding more. Video version on YT coming this weekend. I'd be happy to hear what are your thoughts and what you'd like to see in there. Thanks a lot! Igor

Visit product View on Hacker NewsJul 25, 2024

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

87%87% 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: ios · Missing: supports, reddit linkedin, podcasting

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, video · Missing: mobile apps, personal, entrepreneurs

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

21%21% 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.

Incorrect prediction on native model

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