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Rank and Compare micronutrient densities of foods and recipes
Hacker NewsRank and Compare micronutrient densities of foods and recipes
This online tool let's you rank foods and recipes by weighting multiple factors: Protein, Fiber, Micronutrients, etc. Since most people try to minimize calorie intake whilst maximizing nutrient/fiber intake, all results are normalized on a per calorie basis (200 calories per result). All feedback is welcome. Thanks for trying it out! https://kale.world/c
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting66%66% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%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, crypto17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos12%12% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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