Viktor Stoimenovski - Frontend Engineer | React, Next.js, TypeScript

01Context

What this was

Nagomy Fitness uses this platform for their trainers and clients. Coaches working under the gym brand need a product that captures what happens between sessions—clients log food, calories, water, sleep, steps, and prescribed exercises; coaches review trends, chat in-app, award achievements, and can use AI only inside coach-approved guidance.

02Problem

What was broken

Before

Client nutrition and habit data lived in notes and DMs; workout delivery and progress reviews were manual and inconsistent.

What had to change

Coaches need one dashboard for every client; clients need native or PWA access to log daily inputs and follow uploaded workouts.

01No unified view of nutrition, activity, and training adherence
02Weight and progress history hard to compare since program start
03Generic AI tools ignore coach methodology and client intake context

03Solution

What I built

Whitelabel SaaS on Next.js and TypeScript with Expo for Android and iPhone and a PWA path for installable web.

Client apps log nutrition, food, calories, exercises, water, sleep, and daily steps; browse coach-uploaded workouts and exercises; chat with their trainer.

Coach apps aggregate each client's data, assign training, chat, issue achievements, and review weight and progress since onboarding.

Optional AI for nutrition, macros, and exercise suggestions - constrained to strict coach documents, submitted forms, and coach-selected client data so output stays on-brand.

04Decisions

Key implementation decisions

01
Whitelabel tenancy per trainer brand
Each coach ships the product under their identity without forking the codebase.
02
Daily habit logging as the client loop
Nutrition and lifestyle inputs feed the coach dashboard between live sessions.
03
Coach-bounded AI, not open-ended chat
Model context is limited to coach documents and approved client records.

05Impact