Clendar, a Minimal Calendar App

Hacker News

Hello and Happy New Year HN! Hope all the bests in 2022. So I've been working on a minimal calendar app , named Clendar (Calendar without an 'a'). I know, it's not a good SEO name, but I will go with it :) I've been building Clendar on my spare time. At first, it's just a side weekend project so that I can learn new Apple technologies, but, the app came to the point of usability that I think I should publish on the App Store anyway for the world to know and use it. Besides, I have been trying to design the app for minimal and usability in mind. Also, the app is fully open-source, as a way for me to give back to the app developers community. + App Store: https://apps.apple.com/app/clendar-a-calendar-app/id1548102041 + Landing page: https://clendar.info I'm happy to answer any questions, thanks!

Visit product View on Hacker NewsJan 1, 2022

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

86%86% 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: apple, apps, new · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

68%68% 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 · Strong signals: apps, way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

31%31% 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

17%17% 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.

Incorrect prediction on native model

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