NotePlan for iOS Beta – Daily Planning with Markdown, Calendar and Notes

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Link: http://noteplan.co Hey, Im the creator of NotePlan. The macOS version is done and out in the wild. The iOS version is on TestFlight and will launch in a few weeks. NotePlan is a simplistic text and markdown-based app for managing daily tasks using Todos, Notes and a Calendar. Now also on iPhone and iPad. It syncs with the Apple Calendar and soon Reminders. All data is saved in human-readable text files in your iCloud Drive. The user interfaces is super simple and distraction free - perfect for plain planning. It's made for - managing daily tasks, - planning ahead using the calendar and - making notes all along. Especially useful, if you struggle with paper notes and physical planners as a professional. I made it initially for myself and digitized the way I planned with my moleskin calendar. Visit http://noteplan.co and get on the TestFlight list (see beta badge top right). Let me know if you got feedback or any questions!

Visit product View on Hacker NewsFeb 13, 2017

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, apple · Missing: agents, agent, cursor

95%95% 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

67%67% 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, way · Missing: mobile apps, personal, entrepreneurs

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface, soon · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% 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

23%23% 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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