Overcoming country divide

Hacker News

As you may be aware, this past year been tough for a lot of people. The news has been filled with stories about sexual harassment, discrimination, and general hatred towards one another. I wanted to a create a place where people could share their struggles without feeling like they were the only ones feeling that way. Sometimes knowing that you're not alone can make all the difference. Open When a platform for communities to come together and pass on advice for whatever they're going through. Often it can be a place to heal. To find comfort. Going through a breakup? Dealing with discrimination? Frustrated by sexual harassment? Someone's done it before. Someone's doing it now. Read about the experiences of people who have already gone through what you're going through now. Feel empowerment from other people's stories and experiences. Hear about how they survived the obstacles that you're going through now. And when you've made it through to the other side, share your own story for the next person. https://www.producthunt.com/posts/open-when

Visit product View on Hacker NewsOct 24, 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 · Missing: supports, reddit linkedin, podcasting

68%68% 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.

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

49%49% 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

36%36% 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

16%16% 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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