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Customised meal plan to boost yourself

Hacker News

Customised meal plan to boost yourself

Hey HN folks, what do you think of http://signup.mealthy.com/. The principle is simple. You choose what you'd like to do (exam preparation, gain muscles, marathon preparation, become a vege and so on) and we calculate a meal plan for you based on scientific studies which prove some nutrients have a real effects to help you achieve this goal. Meal plans are customised to your lifestyle, age, weight and, obviously, to your objectives. Let me know what you think about it and signup if you want to know more.

Visit product View on Hacker NewsAug 29, 2013

Actual performance

7points

9comments

Made the leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

50%50% 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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

25%25% 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

14%14% 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.

Correct prediction on native model

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