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Space Machine:Run Android from Your SDCard.(Semi-Portable OS)

Hacker News

Space Machine:Run Android from Your SDCard.(Semi-Portable OS)

Space Machine : Rooted app that allows you to run Android from Removal SD Card. This supports running mobile apps directly from SDCard, so you can carry the SDCard and insert into another Rooted mobile, start using your apps, contacts, photos, mails just like the original mobile. You can use multiple SDCard provide different profiles and view of same device. This allows you to customize or hide apps based on the needs. Increased Internal Storage depending size of SDCard. Kind of semi-portable OS on your SDCard. Right now, its available only for Kitkat users. https://play.google.com/store/apps/details?id=in.co.giis.SpaceMachine . I would really appreciate some feedback! cheers. Under Beta-testing for other versions: https://plus.google.com/u/0/communities/113253726177871964982

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
82%82% 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.
TrustMRRFits verified-revenue profile · Strong signals: mobile apps, apps, google · Missing: ios, personal, entrepreneurs
70%70% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, google, apps · Missing: agents, macos, agent
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, users · Missing: platform, intuitive, reviews
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
41%41% 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 · Strong signals: arr · Missing: mrr, revenue, profit
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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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