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Temporarily lock yourself out from your phone, computer or account

Hacker News

Temporarily lock yourself out from your phone, computer or account

Hi HN, with lockmeout.online, I created an online time-lock service aimed at locking yourself out of distractions and help you to focus on important tasks and activities. During the pandemic I noticed that I could not stay focused when reading a book for an extended period of time anymore - my mind was consistently urging me to check my phone or social media. Other productivity apps did not help me much, as my mind was still playing tricks on me ("Who cares what the usage report says", "I can bypass the block easily by just doing XYZ..."). Therefore, I came up with the idea of an irreversible (but temporary) solution: Changing your phone unlock code or account password, and putting it into an online time lock - impossible to bypass or revert until a certain timespan has elapsed. I myself noticed that once my mind was convinced there is no way to bypass the lock, I could focus on complex tasks and experience slow-paced, mindful moments again.

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Actual performance

3points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
84%84% 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, computer, tasks · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, way · Missing: mobile apps, ios, personal
51%51% 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
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% 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 · 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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