Use Your Linux/Mac Desktop to Store and Run Android Apps

Hacker News

If you have Rooted Device and running low on Disk space, why not use your Desktop to store apps and run directly from them? With Appbox's Own Cloud you can do exactly that. Optionally you can upload it our remote cloud server too. Here's the User Guide: http://giis.co.in/appbox_guide.pdf The Rooted app tested with Kitkat and Lollipop devices. Its under-development, please ensure don't upload critical apps at this moment. I'm also exploring the option of adding Windows along with Linux/Mac. If you encounter issues, share the logs (/data/data/in.co.giis.appbox/Logfile.txt) with me hello@giis.co.in. If you have suggestions or queries, let me know. thanks! App can be downloaded from here: https://play.google.com/apps/testing/in.co.giis.appbox

Visit product View on Hacker NewsMar 7, 2017

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2points

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Launch Intel predictions

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

82%82% 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

79%79% 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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: apps, 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 · Missing: plus, platform, intuitive

33%33% 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 · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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