Lebenmaster, manage your willpower and forecast objectives using AI

Hacker News

Hi guys, I've been on a builder journey for the last months, inspired by the community. I've built this product for myself and I've been using it every day since the start of the year. It helps me forecast when I'll be at my best cognitively to perform deep work. Also, it helps me keep track of my long term objectives and actually predicts when I'll achieve them. I found this feature to be pretty useful and over time more reliable than my own forecasts. I've never built anything I felt was useful before, and am proud of this modest piece of software. Hope I can make you all proud with it, and all feedback is welcome!

Visit product View on Hacker NewsMar 29, 2024

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Did not reach leaderboard

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

72%72% 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: using · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

41%41% 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 · Strong signals: builder · 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

20%20% 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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