I made an app that helps you with self-reflection

Hacker News

Hi Guys I`ve been working on an app that helps you with self-reflection. You can reflect on anything you want and see your progress with statistics! The app reminds you of self-reflection every day so you will never forget it. Im confident that it will help you achieve all your dreams and eliminate some of your problems. I tried it myself with a few colleagues and it worked for all of us! Here is the link if you want to check it out Apple: https://apps.apple.com/ch/app/reflect-check/id1555762987 Android: https://play.google.com/store/apps/details?id=com.Oxygenn.ReflectCheck I hope you like it :)

Visit product View on Hacker NewsMay 13, 2021

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Did not reach leaderboard

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

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos

40%40% predicted probability of success on Product Hunt, 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

38%38% 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

31%31% 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

25%25% 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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