Just Launched Purrfect Advent – A Customizable Advent Calendar App

Hacker News

Hey HN! I’m excited to announce that Purrfect Advent is now live on iOS! It’s a playful, customizable advent calendar app that’s perfect for adding holiday cheer with personalized messages, images, and GIFs. While it’s cat-themed, you can customize it with any images or GIFs you like! • Customizable Content: Fill each day with unique messages, images, or GIFs. • Shareable Calendars: Create and share calendars to make the season more interactive. • Subscription Features: Multiple calendars are available with a yearly subscription. Here’s the iOS link: https://apps.apple.com/us/app/purrfect-advent/id6473840052 The Google Play version is still in closed beta. If you’re interested, join the group here to download: https://groups.google.com/g/purrfect_advent I’d love your feedback and thoughts!

Visit product View on Hacker NewsNov 12, 2024

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

83%83% 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, google, apps · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

55%55% 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

44%44% 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, io · Missing: https docs, just released, exist

33%33% 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 · Strong signals: subscription, active · 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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