I

I made a tool to help you journal consistently

Hacker News

I made a tool to help you journal consistently

Hey HN, I'm Dan, a 27-year old DevOps engineer with a strong passion for building tools. During the day, I work for a startup, and in the evenings, I enjoy working on side projects. For the past few years I've been struggling to maintain a consistent journaling habit. To that end, I created Journia. Journia is your private place for your thoughts, a place to vent and a place to record memories. It helps you build and maintain and journaling habit by sending you a daily email with random prompts to inspire your writing. All that's left to do is start typing, or even to attach a photo to remind you of the day. Your reply will be instantly saved in your journal, which is always accesible in https://journia.app . The more you write, the more fun it gets. Each daily email also includes a random entry from your past, so you can reflect and see how far you've come. All your entries are safely stored and locked behind a password, so no one but you can access them. This way, journaling becomes private, easy and frictionless, and your entries come to you. The app is completely free to use for 14 days, and afterwards I charge a small monthly fee to mostly cover servers maintenance. I hope you enjoy and find value in this tool. Let me know what you think about the front page. Is the introduction clear enough? Too long?

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
80%80% 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: email · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, monthly, way · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
25%25% 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
16%16% 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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