Compare movie ratings (certifications) between countries

Hacker News

I recently moved to Germany, with kids (teens & pre-teens), where Netflix etc. show movie's ratings with the local rating/certification system. This led to questions from my kids about what they could watch. I made this page to get a better understanding of how the German ratings map to US ratings. Since I was downloading data from anyways, I just made it able to compare between all the countries I got data for. There's a Github link at the bottom of the page in case you want to pull your own data or load in data for other countries.

Visit product View on Hacker NewsSep 2, 2022

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Actual performance

3points

Did not reach leaderboard

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Hacker NewsMay not resonate with HN audience · Strong signals: 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 · Missing: plus, platform, intuitive

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

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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