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Nano – Build Mobile Apps Using JSON

Hacker News

Nano – Build Mobile Apps Using JSON

Hello HackerNews, Today I want to share the project that we are working on, that is Nano. What is it? Nano is a react native framework that helps developers to build and update mobile apps using JSON in realtime. Here are the benefits you get when using Nano. 1. No need to manage any state variables. 2. Ease of creating new components using JSON. 3. Easy to place components in horizontal and vertical directions. 4. Ability for every component on the screen to access and change the every other component. 5. Ability for all action/life-cycle event methods to have control over database, navigation, uiElements, notifications and session. 6. Separating Ui from Logic 100%. 7. Ability to load UI (JSON) from your own server. We have been working on this for over 4 months now, if you like this project, kindly give us star in github. Thanks Github: https://github.com/sandarshnaroju/react-native-nano Website: nanoapp.dev

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
79%79% 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, new, using · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: mobile apps, apps, month · Missing: ios, personal, entrepreneurs
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
46%46% 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 · Missing: plus, platform, intuitive
37%37% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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