Gizmote – Your Personal Device Cloud

Hacker News

Hi All, We just launched the Gizmote app on playstore last week (https://play.google.com/store/apps/details?id=ca.gizmote.client). The app allows you to remotely control and manage Android devices in the cloud while enabling the devices into monitoring and location tracking tools. Some of the use cases are a video monitoring system for your home/business, a vehicle tracking system and a remotely controlled baby monitor. The app basically harnesses the hardware capabilities of an Android device to enable these monitoring tools. You can change settings of these tools on the fly with the changes taking effect in real-time. You can share events generated (video, audio, location events) with your friends and family. Please do let us know what you think and any feedback is greatly appreciated. To realize the true power of this app, you will need more than one Android device to play with. Thanks.

Visit product View on Hacker NewsJun 14, 2016

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

76%76% 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: personal, apps, video · Missing: mobile apps, ios, entrepreneurs

55%55% predicted probability of success on TrustMRR, 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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% 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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · 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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