I made app to learn psychology with AI-powered lessons and mindfulness

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Hello dear community! I’m Tunahan. While I was a psychologist, I also started working as an iOS mobile developer. This is my first product and so this is also my first HN. In Psychpedia, while learning psychology from A to Z at the university level through Psychpedia, you can access mindfulness practices that will improve your quality of life ( https://www.psikopedia.app/ ) I designed this mobile application for all psychology enthusiasts and who wants to understand life better. You don't need to sign up to use and you have 1 week free trial to use all premium contents. I am looking forward to all your feedback. I hope you get better while using it.

Visit product View on Hacker NewsApr 27, 2024

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67%67% 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 · Strong signals: started, ios · Missing: supports, reddit linkedin, podcasting

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

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

35%35% 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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