Journalie is an AI mood journaling app to discover daily emotions

Hacker News

Journalie is an AI journaling app designed to make journaling easier and fun, helping people create unique pages from their daily highlights and reflect on their emotions to know more about themselves. Key Features: -AI-Powered Voice-to-Visual: Your voice stories are transformed into unique, visually rich journal entries. -Type or Talk: Whether you prefer speaking or typing, Journalie caters to your style. -Customize with Background Images: Personalize your journal entries with your choice of background images. -Emotion Calendar: View your emotions chronologically in a calendar, tap an emotion to revisit the related journal entries. -Flexible Sharing: Keep entries private or share moments with friends as you wish.

Visit product View on Hacker NewsJan 9, 2024

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

52%52% predicted probability of success on TrustMRR, 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: visual · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, 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

18%18% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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