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Behavioural Experiment – Request for Participation

Hacker News

Behavioural Experiment – Request for Participation

Hello HN, we're developing a new behavioural system for authentication. We've released an app for Android that tracks the user's behaviour when entering a pre-set PIN. You can find it here: https://play.google.com/store/apps/details?id=com.idenux.invisilockexperiment We will track behavioural features such as typing speed and pressure, along with geolocation. There are more details in the application description. Any participation and feedback on the app and approach in general is greatly appreciated. Thank you for the help!

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58%58% 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: apps, google · Missing: mobile apps, ios, personal
56%56% 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
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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33%33% 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 · Missing: arr, mrr, revenue
18%18% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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