Senumi Journal
Food, data, and notes from building Senumi.
Nutrition written without the hedging, and notes from the people making the app.
Your check-up results came back: what the numbers mean and what to ask your doctor
Blood sugar, HbA1c, cholesterol, triglycerides and blood pressure: the ranges health authorities publish, why countries differ, and questions to take to your doctor.
Read the article →Keep your meals and your lab results in one place
How Senumi reads blood sugar and cholesterol values from a lab report, what it saves and what it does not, and how the record can help a conversation with your doctor.
Read the article →Meals and blood sugar: what the research has found
Five well-known studies on eating and blood sugar, what each one tested, what changed, and what they cannot tell you. Research, not advice.
Read the article →Meals and cholesterol: what the research has found
What trials and reviews have measured when people changed fats, fibre and a few specific foods, how large the changes were, and what is still uncertain.
A one-page weekly food check-in for people who do not want to count everything
A printable weekly sheet for building a food-logging habit: log one meal a day, notice one pattern, try one small thing. No counting, no scores.
Photo, barcode or typing: which way of logging food fits which meal?
A plain comparison of the four ways to log food in an app — photo, barcode, a typed description and database search — with what each is good at and where each fails.
What is the 80/20 rule for eating, and what is it not?
A plain definition of the 80/20 rule, what research on flexible eating can and cannot tell us, and how to use it without turning it into another score.
Before blaming your willpower, think about last night’s sleep
A randomized trial links longer sleep with changes in food intake. Here is what it found—and why it cannot predict your personal results.
Your calorie total cannot tell you how salty dinner was
Calories and sodium answer different questions. Explore the DASH-Sodium evidence and learn to compare foods without guessing from appearance.
The bowl is the same. The meal isn’t.
Familiar portions can hide different amounts of food. Learn how to make your meal estimates more useful without chasing false precision.
Your food diary is a story with missing pages
Missing meals can change what a food diary seems to say. Learn how to read your patterns with context, curiosity, and room for uncertainty.
How accurate is a photo calorie estimate?
Honest answer: accurate enough to spot a pattern, not accurate enough to dose insulin by. Here is what a camera can actually tell, and where it goes wrong.
Why we ask you to confirm every scan
One extra tap between the photo and your history. It is the difference between a log you can trust and a number you have to take on faith.
Protein, fat and carbs, in plain language
What the three macronutrients actually do, why every tracker shows them, and the two numbers most people should watch instead of calories.
Senumi does this part for you
Scan a meal, keep the numbers, and see the pattern over weeks. Free to try on Android and iPhone.
