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This 1 unique insight helped me heal from a state of depression

Hacker News

This 1 unique insight helped me heal from a state of depression

This 1 unique insight helped me heal from a state of depression; “If you help someone, it will make you feel good about yourself. Period!” That’s why we have built something for all of you guys literally in a few hours. Introducing 9:30 club… You’ve got 30 mins. Help 1 everyday and be the happiest version of yourself. You will find fulfillment like never before. May it be just a consultation via phone call or even charity of $1M.. Small or big.. Doesn’t matter. The list will be shown to you based on your ability to do only, so that you feel worthy living the lives others are seeking help from. Once you help someone, they will get added to your impact-circle. Strictly do this if you are depressed, you won’t be anymore. Founders’ proven. Experience it yourself. Check out: https://930club.xyz/

Visit product View on Hacker NewsSep 6, 2022

Actual performance

2points

11comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, 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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, 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

43%43% 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 · 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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