Hack your tastebuds to make eating healthy easy

Hacker News

Hi HN! My name is Daniel and I'm the founder of Miracle Nutrition. We make eating healthy easy and enjoyable by enhancing the taste of nutritious foods. Junk foods have been weaponized to taste amazing and be addictive. This has led to an obesity epidemic with 39.8% of American adults afflicted. Although 63% of Americans say they try to eat healthy most or all of the time, 85% admit they give in to over half of their cravings for indulgent foods. Diets suck and often fail because people are unable to find changes that they enjoy and can incorporate into their lifestyle. I’ve created a next generation sweetener. It doesn’t just sweeten food, it removes the unpleasant tartness and bitterness that makes a food an acquired taste, allowing you to discover the natural flavors that were previously masked. Its unique mechanism provides it advantages over any other sweetener: 1) It has no bitter/chemical aftertaste 2) It requires only a single serving irregardless of the quantity of food in your meal 3) There is a uniform effect- no stirring necessary 4) It gives you the power to target the individual, not the food for everyone at the dinner table. Check out this incredible behavioral transformation: <https://youtu.be/fLmeCbotvYI> I started working on this when a fun experiment with my nephew revealed interesting implications. We started off with lemons and strawberries but when offered Greek Yogurt he replied, “I refuse to eat Greek yogurt. It makes me gag.” As the yogurt hit his lips, he patted his belly with delight and exclaimed, “Wow this tastes like a milkshake! More please!” From that moment, I realized that this compound could be harnessed to create lasting behavior changes in a way that positively benefits one’s health. HN, I’d love to hear all of your feedback and advice. What are some interesting use cases you can think of? Do you know anyone who would benefit from trying out my MVP? What’s the best way to get it out there into people’s hands?

Visit product View on Hacker NewsApr 26, 2020

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

57%57% 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: way · Missing: mobile apps, ios, personal

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

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

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% 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.

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