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Couldn't go to the bathroom during a movie, so I made a free app

Hacker News

Couldn't go to the bathroom during a movie, so I made a free app

I was watching "Longlegs" yesterday in the movie theater and couldn't find a good time for a bathroom break. So, I made a free app today that tells you the best time to step out during a movie without missing anything important. Check it out and enjoy it for free! You can start a timer that updates even when your phone is locked. See current movies playing in theaters. I’ve added stuff by hand, so please don’t scream if it’s not 100% right. Feedback welcome!

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Actual performance

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Launch Intel predictions

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Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
49%49% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
38%38% 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
26%26% 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
24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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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