Stay Home Hack - remote hackathon community

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Hi HN, My name is Blair and I started Stay Home Hack as a way to help the community support each other through this challenging time. I’m a data science and technology professional based in Sydney and have helped to organise some of the biggest hackathons and civic tech communities in the world including GovHack and Data for Democracy. Stay Home Hack ( https://stayhomehack.com ) is a fully remote hackathon helping our society stay connected, productive and healthy. We’re supporting entrepreneurs, innovators, engineers, designers, researchers, analysts come together in a series of online events designed to build and launch solutions to emerging local problems of specific cities. What started as a Sydney focused event quickly turned global with talented people from Belgium, Bangladesh and Singapore jumping onboard and we haven't stopped yet. If you're looking to start working on a new project right now, check out our community for support! The Slack invite is at the link above. Would love to know what you think

Visit product View on Hacker NewsMar 22, 2020

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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: started, including · Missing: supports, reddit linkedin, podcasting

70%70% 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.

TrustMRRFits verified-revenue profile · Strong signals: entrepreneurs, way · Missing: mobile apps, ios, personal

52%52% 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, including · Missing: https docs, excited, just released

39%39% 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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% 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

11%11% 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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