Natively – AI mobile app builder (iOS and Android)

Hacker News

i'm obsessed with mobile apps, and even though i've been developing ios/android apps back in 2015, the barrier to entry is much higher compared to web. 62% of the internet traffic comes from mobile devices, and many people are 24/7 by their phones. i also think we are more used to paying on our phone with mobile wallets than on the web, taking a credit card out of our pocket. all of these are opportunities for mobile app entrepreneurs (just look at all chatgpt wrappers for math solvers and plant/dog/... detectors), but the barrier to entry made it hard for the majority to build in this space. so with my cofounder, we decided to build universal mobile apps using expo as the framework, so we built natively.dev. we have a ton of features in the pipeline, we are adding supabase and firebase support, publish to testflight route as well as user/payment management. i'd love to hear your feedback and thoughts. you get 10 free monthly prompts upon signup. make sure to install the Expo Go app to be able to test the app on your device. lmk what you think

Visit product View on Hacker NewsJun 24, 2025

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

93%93% 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, chatgpt · Missing: mac, agents, macos

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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