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I created a Self Improvement App using the same system it boasts

Hacker News

I created a Self Improvement App using the same system it boasts

Hi everyone! First off, i'd like to say that I'm a very ambitious kinda guy, like all of HN readers. I created an app called ManAPP(Still a working title), which is a self improvement app. With ManAPP you can establish what your thoughts and feelings are, therefore recognizing influences in your decision making processes through cognitive reconditioning. The main features are: 1.) Enter and track goals 2.) Journal entries 3.) Reminders 4.) Motivational Quotes 5.) And Chat Room Support How it works: The user enters a goal, multiple reminders plus motivational quotes keep him motivated. By entering journals the user can track their habits and their triggers of failure. The chat feature is an extra measure of support which helps the user because telling others about your goals increases the chances for success(76% by one study[http://www.dominican.edu/dominicannews/study-backs-up-strategies-for-achieving-goals]). This is a screenshot from my actual challenge I am doing right now : http://imgur.com/5PydAIA I use this app to set goals, and even as a to do list because it has alerts. This is the link to my android app: Homepage: http://manapp.101sys.co/ Download: https://play.google.com/store/apps/details?id=com.manapp Lastly, I wanted to add that I believe in the system the app provides because its the same system I've used in real life for the past 10 years. Its helped me accomplish many goals. I wanted to put it in an app because I wanted others to give it a try. The BIGGEST advice I can give is that you have to be consistent with the journal entries. do 3 days please.. You will notice a certain feeling after 3 days that you are more motivated to keep going. I am working on an iPhone version, please sign up for the newsletter, I don't send out spam, I only send out notice when there is a major update. Thank you all

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
95%95% 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: apps, google · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews
39%39% 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
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.
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 · Strong signals: chat, real life · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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