Development and validation
The product is being validated in a closed beta environment.Calorie tracking / ENTER PORTFOLIO
A weekly calorie-budget app for men aged 30–50 who want to get in shape without putting real life on hold.
B.a.D. Coach is a calorie-tracking mobile app for men aged 30–50 who want to get in shape without giving up Friday beer or Sunday lunch. Instead of daily calorie accounting, it works with a weekly calorie budget: what matters is not what happened on Tuesday, but where the balance stands at the end of the week.
Most tracking apps are built around daily accounting. That works perfectly until the first business lunch, children’s birthday party or match night. The daily budget breaks, the screen turns red and the user concludes that the week is ruined. This pattern can drive abandonment. The problem is not necessarily willpower; the system fails to tolerate normal adult life. After a few enthusiastic weeks, the app is deleted and the user is left feeling that he failed, rather than the method.
A weekly calorie budget instead of a daily limit.
The app provides one budget that can be distributed across seven days. If the user eats more on one day, the system does not punish him; it reallocates. Estimated calories burned through recorded activity return to the budget.
The user types or says what he ate and the app interprets it. There is no lengthy database search, and every meal does not need to be weighed to the gram.
Once a week, the app summarises calories, macros and consistency, then gives one concrete task for the coming week.
Not daily micromanagement, but weekly-level feedback.
Most products in the category reward discipline. B.a.D. Coach rewards sustainability. This is not just a difference in tone; it is a design decision. At the same weekly energy intake, weekly accounting follows the same energy balance as daily accounting without creating guilt along the way. There is no red screen, no broken streak and no division into “good” and “bad” food. The app does not apologise for the fact that its user’s life is not a fitness blog. Its orange, bearded bear is there to cheer, not preach.
For men aged 30–50 who want to lose weight or maintain it over the long term without organising their lives around a perfect programme:
It is not intended for competitive athletes or bodybuilders who need gram-accurate daily macro planning, for people following a medically supervised diet, or for anyone with a current or previous eating disorder, for whom calorie tracking itself may be risky. It is not a rapid, drastic-transformation programme.
The weekly budget is not a directly proven “better app mechanism”. It is a design hypothesis built on several complementary research findings. The product website provides the full references.
POUNDS LOST, DIETFITS, the Dansinger JAMA trial and Johnston’s meta-analysis indicate that several dietary approaches can work. Average differences are small, while long-term adherence is decisive.
Burke’s systematic review of 22 studies found a consistent association between dietary self-monitoring and weight loss, which is why B.a.D. Coach aims to reduce the friction of logging.
Kevin Hall’s NIH-associated energy-balance model shows that body weight responds slowly to sustained changes in energy intake. The longer-term pattern matters more than a single day.
In MATADOR, 51 men with obesity were randomised to continuous energy restriction or restriction interrupted by two-week maintenance phases. The intermittent group achieved greater weight and fat loss in the per-protocol analysis. This was not, however, a direct test of a weekly-budget app or a difficult weekend.
In Tomiyama’s controlled experiment, calorie restriction increased cortisol output and calorie monitoring increased perceived stress. This supports reducing the burden of tracking itself.
What we do not claim: no randomised trial has directly compared a weekly-budget app with a daily-budget app. MATADOR was a single study involving men only, and the cortisol relationship is mechanistic rather than evidence comparing app outcomes. Research into AI-based coaching is also at an early stage.
Detailed research and references →Closed beta