How I started to improve my life, one thought at a time

Hacker News

Hi Guys, I built Paralign based on my own journey and how I started to really improve my life one thought at a time. Paralign is an anonymous journaling platform that connects you to similar thoughts as you journal; Letting you know that there is support, acknowledgement and hope. That you are not alone. Paralign gives you feedback about your thought and mood patterns and helps you be more aware. Paralign’s companion feature personalizes guides (like guided meditation) to empower you to live a more relaxed and inner-connected life. iOS: https://itunes.apple.com/us/app/paralign/id906756239?mt=8 Android: https://play.google.com/store/apps/details?id=cst.com.paralign2&hl=en website: http://paralign.me Look forward to your thoughts/feedbacks

Visit product View on Hacker NewsDec 22, 2015

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3points

1comments

Did not reach leaderboard

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

79%79% 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: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

63%63% 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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% 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

32%32% 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

21%21% 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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