Find the meals that actually keep you full

What it does

Each food gets a satiety estimate on a five-level scale from Very Low to Very High. It is derived from the food's own nutrition — protein and fibre relative to calories, energy density, sugar, whether it is a drink, and how processed it appears to be.

Because it is computed from the food's values, it updates as you edit. Change a serving size or correct a scan result and the estimate recalculates with it.

Who it is useful for

• •Anyone in a deficit who is hungry all the time which is usually a food-selection problem before it is a willpower problem.
• •People whose calories are fine but whose evenings are not where a low-satiety lunch reliably becomes an unplanned 9pm snack.
• •People building a repeatable meal rotation and wanting to know which of their usual meals actually carry them to the next one.

What NutrientOS shows you

• •A satiety level on every food, in search results, in the diary, and on scan results.
• •The nutritional reasons behind the level — typically protein, fibre, and energy density.
• •Higher-satiety alternatives at comparable calories through Smart Food Swaps.

Known limitations

Satiety is a population-level generalisation applied to an individual, which is exactly where generalisations are weakest.

• •It is an estimate, not a measurement. It is calculated from nutrition data, not from any measurement of your response to the food.
• •Individual variation is large. Appetite responds to sleep, stress, training, medication, hormonal cycles, illness, and habit. None of those are inputs.
• •Meal context is not modelled. What you ate it with, when, and how quickly all change the outcome, and a per-food score cannot see any of that.
• •Learned preference beats nutrition. Familiar and enjoyable foods often satisfy better than their numbers predict.

Satiety estimates are informational and are not medical or dietary advice. They are not appropriate for managing a clinical eating disorder or any condition affecting appetite regulation.

How missing data is handled

Missing fibre or protein values reduce the evidence available, so the estimate stays conservative rather than assuming a zero. A record thin enough that a meaningful estimate cannot be made does not get a confident one.

How it connects to the rest of NutrientOS

Satiety and Food Grade share inputs and appear together on every food, and both feed the swap suggestions. In practice they answer two different questions about the same meal: was it nutritious, and will it hold you.