BaseTrustCapital
Trading · Python backend · Client area
More than a trading website: a complete investing ecosystem. Each client gets a secure dashboard to monitor portfolios, track strategies and follow live data powered by Python backend servers.
Case study
My Coach The app for independent fitness coaches
We designed and keep developing My Coach: programs, nutrition, check-ins, messaging, scheduling and revenue tracking, all in one place. Clients get their own app; coaches get their time back.
- Project
- Our own product, in beta
- For
- Independent fitness coaches and their clients
- Platforms
- Web app, installable on phone and computer
- Technologies
- React, TypeScript, Supabase
- Website
- mycoach-app.fr
The problem
The cost of scattered coaching
A coach following thirty people doesn’t lose time coaching. They lose it between tools.
The program lives in a spreadsheet
Duplicate it, export it to PDF, send it. At the slightest change, start again, and nobody knows which version the client is looking at.
The follow-up lives in the chat
Progress photos, weights, the week’s questions: everything sinks into the thread, and finding what was said three months ago takes ten minutes.
Check-ins happen one by one
The same questionnaire copied for every client, answers noted by hand, and a progress chart nobody gets round to drawing.
Revenue is counted from memory
Who paid, who forgot, what comes in next month: the answer is spread between a notebook, a bank account and a good memory.
What we built
All the coaching, in one place
Programs and catalogue
Sessions, sets, loads and notes, published when the coach decides. Each exercise in the catalogue shows the muscles worked.
Nutrition with real numbers
The coach types “150 g of rice” or “2 eggs”: calories and macros appear, and the meal total follows.
Recipes suggested by AI
A short description, three recipe ideas, already calculated, added to a client’s plan in one gesture.
Check-ins and charts
Remote or in session, every check-in feeds the weight and measurement charts, with nothing typed twice.
Messaging and notifications
Text, photos, videos and voice notes, with a notification on the phone even when the app is closed.
Scheduling and finances
Clients book from the coach’s availability; payments, late payments and forecasts fit on one page.
In numbers
What the app already knows
172
exercises in the catalogue, with the muscles worked
3,484
foods from the French ANSES Ciqual table to calculate meals
3
recipe ideas suggested by AI for each request
Inside the app
Three of the coach’s screens
Screenshots of the real app, taken on sample data. The app is in French.
Meals calculated from the Ciqual table, no calculator needed. The coach decides whether the client sees the numbers.
Everything about a client on one page, with the coach’s notes at the top: what to be careful with is read before the session.
Who paid, who still owes, what comes in next month. Money received and money expected stay separate.
Our choices
The decisions behind the product
Nothing to install to start
The client gets a link and finds their space, in their coach’s colours. The app can then be added to the phone’s home screen.
AI suggests, the app calculates
Recipe ideas come from AI; calories and macros are calculated by the app from the Ciqual table. Never by the AI.
Nothing typed twice
Client lists, client files and programs are imported by AI from a spreadsheet, notes or a PDF. An imported program arrives as a draft: the coach checks it, then publishes.
Data hosted in Europe
The app’s database is hosted in Ireland. Coaches know where their clients’ data lives.
Our work
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