Secure cloud phone on your phone to protect your data

Hacker News

A remote cloud-based secure phone that doesn't leak your private data because it's not running in your phone. Hi everyone! As a side project I have created something that I would like to ask you all to get your feedback and if that is something you would be interested in using. It's a remote phone instance running in the cloud where I install and use all apps that may be leaking private data such as geolocation, activity time, microphone, gyroscope and what not. In principle its an Android instance which I access with VNC client from my iPhone. Everything on the server side is based on AOSP (Android Open Source), encrypted and in a Docker container with all of its security features. The only downside is that when I'm in a rural area the VNC can get laggy and it's pretty much unusable. I was thinking about releasing it as a service to the general public for a small fee lets say $10/mo to cover the server cost and making some fancy integrations like Zadarma to use separate phone number, VPN to hide the server location, or a dedicated mobile app to optimize traffic data (VNC can be data-heavy). What do you think?

Visit product View on Hacker NewsJan 25, 2021

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, para, vpn · Missing: supports, reddit linkedin, podcasting

85%85% 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, dock, activity · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% 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

39%39% 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

17%17% 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.

Incorrect prediction on native model

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