AI App Store Optimization (ASO) Tool for Mobile App Developers

Hacker News

I'm excited to share with all mobile app developers my platform, GrowASO which can help you increase your app's downloads and keyword rankings using AI. Key features of GrowASO: - AI ASO Copilot (use LLMs to automatically recommend optimized app listing texts for App Store and Google Play, while balancing keyword traffic & difficulty) - Keyword Rank Tracking (iPhone, iPad, Android keyword rank tracking) - Keyword Research (traffic and difficulty estimates along with top competitors for given keywords) I look forward to hearing your feedback once you use it! For any questions, please feel free to let me know.

Visit product View on Hacker NewsMay 17, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

84%84% 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 · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

38%38% 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

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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

AI Everything App Store41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Everything App Store

Hacker News2

Simple tool for mobile App Store links48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple tool for mobile App Store links

Hacker News3

AppDrift32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI App Store Optimization & Localization

Indie Hackers

Metrikal70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

App Store Optimization (ASO) SaaS Tool

Indie Hackers3$10,000/moadvertising

AirASO52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate App Store Optimization with AI

Indie Hackerscommitment-full-time

LaunchMatic65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mobile app screenshots for the App Store, designed instantly

Indie Hackers6growth

dal-app-148%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

a mobile app

TrustMRR267$3,759/moMobile Apps

Mobile App Grader42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mobile App Grader

Hacker News6

Mobile App Automizer42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mobile App Automizer

Hacker News22

The Crowdtilt Mobile App42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Crowdtilt Mobile App

Hacker News35

Browse all products Analyze your launch