Purrfect Advent – A Customizable Advent Calendar App

Hacker News

Hi HN! I’m excited to share Purrfect Advent, a customizable advent calendar app for the holidays. It lets you create and share personalized calendars filled with GIFs, memes, heartfelt messages, or anything else festive. I made it as a fun way to spread holiday cheer with friends and family. Features: • Create Your Own Advent Calendars: Add custom text, images, and GIFs for each day. • Easy Sharing: Share your calendars seamlessly with friends. • Cross-Platform: Available on iOS and Android. I built this app because I love sharing little surprises with loved ones and wanted something unique to send to my girlfriend. I’d love your feedback—what works, what could be better, or any other ideas! Links: • Website: purrfectadvent.com • iOS: App Store • Android: Google Play Happy holidays, and let me know what you think!

Visit product View on Hacker NewsNov 27, 2024

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

92%92% 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: google · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

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

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

45%45% 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

24%24% 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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