Have anxiety? Get help from an awesome non-profit

Hacker News

Hello everyone! As you can tell, I don't use Reddit that much, but I figured this was a great way to reach out to people and let them know that help is always available. I am the founder of Asking Jude, a mental and emotional safe haven that provides free online supportive service. I have a team of interns currently training to become psychiatrists and psychologists that answer any and every question--from inquiries on domestic abuse to mental illness. Well, recently I created a supplemental Youtube channel to give both text- and visual-based help to everyone. I find that putting a face to a name makes things far more personal. Our first mental health video is on social anxiety and provides some pretty detailed tips and tricks on how to manage it. I have suffered from social anxiety, so I know a lot about it. It would mean the world to me if you guys checked it out and maybe even subscribed or left feedback. Please, support the idea that everyone deserves help and check out and subscribe: http://preview.tinyurl.com/y8mr2g3y If you need quality advice, check out our website: https://tinyurl.com/yapd7owx

Visit product View on Hacker NewsAug 31, 2017

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

82%82% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

52%52% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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, video, way · Missing: mobile apps, ios, entrepreneurs

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, training · Missing: arr, mrr, revenue

22%22% 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.

Incorrect prediction on native model

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