DataFood Engine.Monexa Data Node
Live
0.88
Verified Asset
High Efficiency
Keto Protocol

Dont quit.

Metabolic profile analysis. Technical breakdown of Dont quit and its impact on skeletal muscle retention and daily energy expenditure.

Total Energy42kcal
Bio-Protein9g
Carbohydrates2g
Total Lipids0g

Nutritional Efficiency Report

Dont quit is a very low-calorie food with low-protein content. At 42 kcal per 100g, it delivers 9g of protein — representing 86% of its total caloric load. Carbohydrates account for 19% and fats for 0% of calories.

"Efficiency Score 0.88 — this asset ranks in the top tier of the DataFood database for protein delivery per calorie. Optimal for fat loss, lean bulking, and body recomposition phases."

At only 2g net carbs per 100g, it fits strict ketogenic and carnivore protocols.

With only 42 kcal per 100g, Dont quit is a high-volume food — you can consume a large serving while keeping total caloric intake controlled. This makes it particularly effective for hunger management in deficit phases.

Protocol Compatibility

Ketosis Impact

At only 2g net carbs per 100g, it fits strict ketogenic and carnivore protocols.

Thermic Effect (TEF)

With 9g protein per 100g, the thermic contribution is moderate. Pairing with higher-protein sources increases the overall TEF of your meal and supports lean mass retention.

Expand Your Protocol.

Based on the metabolic profile of Dont quit, these related data nodes are most relevant to your nutrition architecture:

Keto Verified Assets Fat Loss Foods Database

Integrate Asset.

Use the clinical weekly planner to distribute Dont quit across your metabolic windows.

Generate Weekly Protocol

Input physical metrics to generate a synchronized 7-day protocol.

1. Biological Metrics

2. Dietary Logic

Institutional Disclaimer: The nutritional data provided for Dont quit is derived from clinical databases and algorithmic estimation. This report is for metabolic infrastructure planning only and does not constitute medical advice. Consult a clinical nutritionist before implementing aggressive deficit protocols.