App for Daily Journaling

Hacker News

Many years ago, I heard a Tim Ferris podcast with Robert Rodriguez is an avid journaler and used a bunch of Word documents to organize his daily notes. Ever since then, I couldn't get my mind off of a personal journaling system primarily organized by day; with a secondary topical organization by Label. After a few false starts of my own and wasting about $10K on an off-shore development company, I was still left with nothing. Recently, I decided to give it one more push and developed the first draft of my dream journaling tool. I'm a developer, I want to also be a writer. Development comes much easier to me than writing. This is an Angular app deployed into Firebase. This was my first time using Firebase. I never published an app in public before because I don't feel like I know enough about security. Firebase took all of the thinking out of it (I hope). If interested, see https://journal-ease.com. I only have Google login because I need it to properly secure the app and FireStore. Also, I promise to send only the occasional development status emails for the foreseeable future. Still ugly and have a long ways to go, but I wanted to share this to see what people think. (Note if document comes up blank, hit refresh :\ .

Visit product View on Hacker NewsJun 14, 2022

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

67%67% 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, email, using · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, 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

39%39% 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

15%15% 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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