Outstanding Fitness and Nutrition Website

Hacker News

I don't normally do this but after submitting this through the usual mechanism and having it quickly vanish off the New list, I figured it was worth a shot. * I do not have any affiliation with this site * These guys need and deserve our support. The work they are doing is pretty outstanding, the amount of quality content is incredible. The site itself is well designed, clean and top-notch. The content is truly outstanding. They are also doing it right, IMO - aka no ads at all - and entirely donation driven. Hence this post... check them out, and hopefully toss them a dollar if you find it as useful, and amazing as I have. https://darebee.com

Visit product View on Hacker NewsJun 21, 2019

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

75%75% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% 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: fitness · Missing: mobile apps, ios, personal

31%31% 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

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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