Platform for making android apps betters

Hacker News

Hi All There's a lot involved in managing mobile application. To make it easier, we've brought together the best parts on a single platform. Frictionless Beta Distribution: 1. Developer can simply upload and distribute android apps seamlessly to users and platform keep a track of downloads, crashes, feedback. Real-time Crash Reporting: 1. With 1 line of code, you can enable crash reporting for your app and monitor crashes in real time for beta as well as for your market version. Listen to users & improve rating. 1. You can enable in app support, provide a medium to your users to communicate with you with their comments, issues, feedback, feature requests. [It helps in app rating] We soft launched beta last week and received great traction in developer community. We would like to invite you to have a look @zubhium . Really appreciate any feedback.

Visit product View on Hacker NewsFeb 1, 2012

Share card

Actual performance

8points

3comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

85%85% 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.

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

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

60%60% 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

52%52% 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: platform, users · Missing: plus, intuitive, reviews

44%44% 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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · 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

Similar products

Fwd.us for Android made with Visioneer app for making apps43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fwd.us for Android made with Visioneer app for making apps

Hacker News1

Android Apps53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Android Apps

Hacker News1

Localize your android apps46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Localize your android apps

Hacker News1

New Android app for making android apps33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

New Android app for making android apps

Hacker News2

Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making explainability algorithms more robust with GANs

Hacker News2

Making a Cypherpunk Loot Derivative52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making a Cypherpunk Loot Derivative

Hacker News4

Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making your standups more joyful with Zest

Hacker News4

My Q&A with Neal Stephenson on making the Metaverse himself52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Q&A with Neal Stephenson on making the Metaverse himself

Hacker News5

Making IBANs More Memorable52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making IBANs More Memorable

Hacker News2

Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making of an HTML5 cube timelapse

Hacker News4

Browse all products Analyze your launch