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I Made an End-to-End Encrypted Life Goal Planner

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I Made an End-to-End Encrypted Life Goal Planner

When planning your whole life in order to see your Tasks in Perspective (PerspecTask), it's important to know that only you have access to your private thoughts. No employee of the app can see your goals because they are encrypted before they are sent to the server. A goal can have unlimited subgoals and unlimited "parent" goals, which is something I wanted for a long time because you can see how a completed task gets you closer to achieve multiple bigger goals. I hope it helps you achieve your highest life goals!

Visit productView on Hacker NewsNov 15, 2024
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: tasks · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
52%52% 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 · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
15%15% predicted probability of success on AppSumo, 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.

Incorrect prediction on native model

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