Backend for Mobile Apps

Hacker News

Hi all, I’ve been building for past several months a backend as a service specifically for mobile apps. I believe it’s a first one that is truly for mobile apps by leveraging security and integrity checks to identify app when talking to a backend. I’m building on cloudflare and have a foundation working: email with password authentication, SQLite direct access with SQL (choose your own wrapper, ORM, or none), permissions and row level permissions with conditions. Currently it’s for iOS and React Native first. Database is SQLite compatible - aka D1 cloudflare. The way one access it from mobile app is literally just doing SQL - I have a preview package here https://www.npmjs.com/package/@calljmp/react-native . Security isn’t an option - meaning app gets authorized not by hardcoding api keys or project ids but by passing the security and integrity checks to identify itself then gets a JWT for faster access using secure storage aka key stores an chains on mobile device. Im planning to add more features like storage and functions. Thankfully all of it can be run locally for faster development too. I would like to hear your thoughts, feedback, and ideas. Regards.

Visit product View on Hacker NewsMar 29, 2025

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

92%92% 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, compatible · Missing: supports, reddit linkedin, podcasting

89%89% 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

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% 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

20%20% 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.

Incorrect prediction on native model

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