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NotePlan – Notes-Based Calendar and Todos [Public Beta]

Hacker News

NotePlan – Notes-Based Calendar and Todos [Public Beta]

Public Beta: https://testflight.apple.com/join/mrSbc937 Hey there, NotePlan is a different kind of calendar where you plan your life based on notes for every day in your calendar. You can add todos into your notes, check them off, re-schedule etc. Besides the calendar notes you have a place for notes not related to a date where you can track your projects and other things. Review past days and open todos. NotePlan forces you to take a decision which avoids piling up todos in an endless list. You can also use it as a journal or log to capture what happened during the day, your thoughts, successes, etc. Or just dump anything coming up to get it out of your mind. Besides that it syncs with your iCloud calendars and reminders, so that you don't need to switch back to another calendar. NotePlan 2.0 for iOS is almost done and we have a public beta running. Feel free to join: https://testflight.apple.com/join/mrSbc937 . Let me know if you have feedback!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, notes, open · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
50%50% 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
42%42% 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
33%33% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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