I built a template for cross-platform development (Expo and Next)

Hacker News

I've built a cross-platform template, based on the tech stack I use myself everyday. Brief overview of what it includes: Expo, NextJS, TypeScript, Tailwind, Firebase, AppsFlyer, SEO, ATT, Internationalization, Authentication, Analytics, In-App Purchases, Stripe, Push Notifications and a lot more. All setup by default. The inspiration for building this came out of the experiences and challenges I’ve faced over the past 10 years of developing apps for iOS, Android and Web. As developers, we tend to spend waaay too much time on boilerplate functionalities. All our time and energy should go towards building the exclusive features of our specific app, not on setting up auth, payments, analytics etc. Additionally, if you've ever had the pleasure (pain) of launching your product on multiple platforms, you know the joy (horror) of dealing with synchronization of IAP vs Web payments, authentication, analytics, ad measurement etc. which has nothing to do with your app’s unique features. The amount of time being wasted reinventing the wheel in this process is significant. And it’s especially silly, considering the fact that the vast majority of apps need the same exact basic functionalities that “wrap” their unique core features. I hope this template might be able to help other devs focus on the actual core features their app offers, instead of spending an abnormal amount of time on all the standard config that users will never notice or appreciate. Thanks for taking the time to read my rant. I’m open to feedback. Ask me anything. Or tweet at me @chrisesmann

Visit product View on Hacker NewsMay 28, 2024

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

95%95% 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: apps, user, stripe · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, 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

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 · Strong signals: ios, apps, users · Missing: mobile apps, personal, entrepreneurs

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, exclusive, users · Missing: plus, intuitive, reviews

28%28% 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

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.

Correct prediction on native model

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