01
Glossary
Snap.
A photo-first coaching input that turns a meal photo into structured nutrition signal — ingredients, macros, adherence. A coaching layer, not a diet app.
01 · Snap
Uploaded 12:40pm
02 · Analysing
Reading ingredients
03 · Logged
Chicken thigh, rice, tenderstem
+44g protein on the day
02
Definition
What Snap means.
Snap is a category of coaching surface that converts a client's meal photo into a structured nutrition read a coach can act on. The input is simple: photograph the plate. The output is coaching signal: ingredients identified, macros estimated, confidence surfaced, and the meal written into the day. It exists because manual logging breaks the same way every time — friction first, omission second, abandonment third. The shorter version: a food diary tells you what the client typed; Snap gets closer to what they actually ate.
03
The job
A structured nutrition read from a photo, not a search bar.
The job of Snap is to replace manual logging friction with a coaching signal that is fast enough to keep, honest enough to use, and structured enough to review over time.
- A meal photo as the primary input, captured in seconds.
- Ingredients identified from the plate rather than typed from memory.
- Directional macro estimates — protein, carbs, fat, calories.
- Confidence surfaced so questionable reads get corrected instead of trusted blindly.
- A confirm-or-adjust step before the meal lands in the log.
- The day and week written from what was actually eaten, not what the client remembered to type.
04
Adjacent categories
Categories that overlap, but aren't the same thing.
Snap overlaps with nearby nutrition products. The distinction matters because each one creates a different coaching behaviour.
- A calorie-counting app. Built around manual entry and precise-seeming numbers. Snap is built around fast capture and adherence signal.
- A barcode-scanner food database. Useful for packaged foods and labels. Snap is for the actual meal on the plate.
- A consumer diet app. Built to keep the client logging. Snap is built to help the coach read the nutrition week.
- A clinical nutrition instrument. Snap does not claim clinical precision and should not be treated as a medical tool.
The word matters: coaching input, not calorie-counting theatre.
05
Honest framing
What Snap can't do, and why it still matters.
Every photo-based food logger has limits. The useful version of Snap is not pretending otherwise.
- The macro output is directional. Useful for adherence over time. Not a clinical figure.
- It is strongest for standard meals and weakest for ambiguous plates, hidden oils, or unusual dishes.
- It works best when the client confirms or adjusts the read instead of tapping through blindly.
- It should be read across the day and week, not treated as a courtroom argument over one meal.
- The point is not perfect nutrition math. It is a cleaner signal a coach can actually coach against.
06
TrainedBy and the term
TrainedBy's Snap.
Inside TrainedBy, Snap is the photo-first meal logging surface in the client app. The client photographs the meal, confirms or adjusts the read, and the meal lands in the same nutrition record the coach is already using. That adherence signal then feeds the Weekly Cockpit and sits alongside the rest of the client's coaching week.
- Captured in the client app — no separate logging app to maintain.
- Logged meals roll into the day, the week, and the nutrition trend.
- Adherence signal surfaces back in the Weekly Cockpit for the coach.
For the full product surface, start with /features/snap.
Snap is one of the coaching-input surfaces inside a coach operating system.
07
FAQ
Common questions on the term.
What is Snap?
A photo-first coaching input that turns a meal photo into structured nutrition signal — ingredients, macros, and adherence context a coach can act on.
Is Snap a calorie-counting app?
No. Snap is a coaching surface. The macro output is directional and useful for adherence over time, not a consumer score for the client to chase meal by meal.
How accurate are the macros?
Estimated. Strongest for standard meals and directional tracking over time. The value is a cleaner read on what was actually eaten, not clinical precision.
What if a meal detection is wrong?
The client can confirm or adjust the meal before saving it. Snap is built around fast correction, not blind trust.
Is "Snap" an industry-standard term?
Not yet. It is TrainedBy's framing for photo-first meal logging used as a coaching surface rather than a diet-app gimmick.
Does Snap replace the nutrition plan?
No. It feeds the plan. Snap is the intake layer that shows what was actually eaten against the nutrition structure the coach already set.
08
Final CTA
See how TrainedBy's Snap works in practice.
See the input, the output, the coaching handoff, and the limits in one place.