We

We Made a Guided Journaling App for Mindfulness

Hacker News

We Made a Guided Journaling App for Mindfulness

Hi HN, This is the backstory for Sunrise, our guided journaling app. After experiencing burnout twice, I looked into cognitive behavioral therapy (CBT). Finding the right therapist, however, was costly and frustrating due to inconsistent quality and limited availability. While I eventually succeeded, many aren't as fortunate—roughly 122 million Americans still live in areas lacking sufficient mental health professionals. This challenge led me to an unexpected source of support: mobile apps. Journaling apps, in particular, offered a unique solution for managing my anxiety. They were affordable, self-reliant, private, and portable tools that were also more active and introspective than meditation apps. Despite these benefits, existing journaling apps had their limitations: they focused more on record-keeping than on my mental health. Drawing from these experiences, my cofounders and I made Sunrise, a journal therapy app that goes beyond simply recording daily events. Sunrise enhances mindfulness with evidence-based journal guides, visual mental health progress tracking, and "Positive Notes" for emotional support. Our goal is to provide individuals with the safest digital space to reflect, relax, and recharge on their path to better mental wellbeing. You can see a detailed product demo in our website or download the app for free from July 23 to Aug 1 - let us know what you think HN Community. Cheers! Links: [Website & Demo]( https://www.sunrise-app.com/?utm_source=hackernews&utm_mediu... ) [iOS Download]( https://apps.apple.com/app/apple-store/id6502430422 ) [Android Download]( https://play.google.com/store/apps/details?id=com.fimpact.su... )

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
89%89% 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.
TrustMRRFits verified-revenue profile · Strong signals: mobile apps, ios, apps · Missing: personal, entrepreneurs, video
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
44%44% 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: active · Missing: arr, mrr, revenue
28%28% 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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