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GrammarDaily – daily bite-sized grammar lessons

Hacker News

GrammarDaily – daily bite-sized grammar lessons

Hey everyone, I'm Utku! So, I just whipped up this fun little MVP for GrammarDaily, and I'd absolutely love for you lovely people to give it a try! It's a bit modest in features at the moment, but hey, that's where your awesome thoughts and ideas come in handy! I'll be adding fresh grammar lessons every day and spicing things up with new features every week. Feel free to drop any suggestions, comments, or questions you might have. You can also reach me directly through my email at utku@usegrammardaily.com.

Visit product View on Hacker NewsApr 10, 2023

Actual performance

16points

9comments

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, email · Missing: mac, agents, macos

57%57% 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.

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

47%47% predicted probability of success on AppSumo, 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

44%44% 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 · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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