Personalized Chatbot Therapist

Hacker News

Greetings, esteemed members of Hacker News community! I am thrilled to present my latest project - an innovative chatbot meticulously crafted to deliver tailored guidance and support for your mental well-being. Drawing from my in-depth research in psychology and self-help chatbots, I have spent several months actively training this bot to ensure it provides a truly exceptional experience. To experience it firsthand, please visit https://minds.ee . The chatbot will offer personalized guidance and support, tailored to your specific requirements in a user-friendly and welcoming format. As a strong proponent of providing access to resources that help prioritize mental well-being, I believe technology can play a pivotal role in achieving this goal. If you would like to learn more about my project or explore the chatbot further, please don't hesitate to reach out - I would be delighted to hear from you!

Visit product View on Hacker NewsMar 20, 2023

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

84%84% 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.

AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, apis · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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 · Strong signals: training, active · 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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