Ra

Raize – No-Added-Sugar, Low-Carb, Gluten-Free Bakery

Hacker News

Raize – No-Added-Sugar, Low-Carb, Gluten-Free Bakery

Hey HN, I just launched a specialty online bakery creating no-sugar-added, low-carb, gluten-free cookies and cookie sandwiches called RAIZE (eatraize.com). Instead of sugar, we use a blend of natural sweeteners including stevia, monk fruit, and erythritol. Instead of grains, we use almond, hazelnut, and coconut flours. Why? The key to long-term metabolic health (including fat loss, reducing energy spikes/crashes, lowering inflammation, and more) is to avoid blood sugar spikes (see the company Levels Health for more info on this). This means eating less sugar and fewer refined, high glycemic carbohydrates like traditional flour. Prior to RAIZE, the "better-for-you" dessert alternatives consistently left me dissatisfied, and there was no good fresh bakery option. So, I partnered with a classically-trained pastry chef who formerly led the baking program at one of the top culinary schools to develop our recipes and launch RAIZE. If you're looking to still enjoy dessert while eating less sugar and fewer refined carbs, check us out at eatraize.com. We deliver nationwide. Let me know if you have any feedback or questions!

Visit product View on Hacker NewsFeb 8, 2022

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

73%73% 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: ide, io, including · Missing: https docs, excited, just released

60%60% 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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% 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

47%47% 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

16%16% 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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