NutriTrack: end to end patient management to branded reports, fast

Role

  1. Product strategy, UX , full stack builder

  2. 2 months build, constant update

  3. Self initiated

Methods

Interviews, rapid prototyping, user testing, AI assisted design and code

Challenge

Building a one stop solution for nutritionists to manage their practice.

I built an entire SaaS

I built an entire SaaS

I built this fully functional software with no manual coding. AI has finally done it, enabled us designers to build without limits, so we can focus on what we do best, understanding the users and solving their problems.

I built this fully functional software with no manual coding. AI has finally done it, enabled us designers to build without limits, so we can focus on what we do best, understanding the users and solving their problems.

The challenge

Nutritionists were planning in WhatsApp and spreadsheets, capturing notes on paper, and sending unbranded plans that felt unprofessional. Context lived everywhere and nothing flowed.

Nutritionists were planning in WhatsApp and spreadsheets, capturing notes on paper, and sending unbranded plans that felt unprofessional. Context lived everywhere and nothing flowed.

The Solution

A calm, end to end system where everything lives under one patient. Plan diet, lifestyle, fitness, track vitals, keep notes and files, schedule visits, then export a clinic branded PDF that clients understand and trust.

A calm, end to end system where everything lives under one patient. Plan diet, lifestyle, fitness, track vitals, keep notes and files, schedule visits, then export a clinic branded PDF that clients understand and trust.

Product Demo

Research

I didn't start with researching the segment, I was approached with problem statements by a seasoned nutritionist.


Her persona:

  1. Not tech-savy at all.

  2. Working as a solo practitioner.

  3. Wants to build trust and authority with patients

  4. Couldn’t scale consultations efficiently despite demand.

Co design

  1. Translate a paper plan into a minimal component

  2. Share on WhatsApp and collect feedback quickly

  3. Adjust and ship the next version

This is how I received the requirements

Constant Feedback

NutriTrack Features

  • Patient Onboarding

    Guided intake for demographics, diet/ medical history, allergies, dietary preferences, and goals.

  • Patient Dashboard
    Central hub with search, filters, and quick access to all patients.

  • Goals & Progress

    Define patient targets and measure adherence with simple dashboards.

  • Vitals Tracking

    Log weight, height, BMI, WHR, and track progress with trend graphs.

  • Meal & Diet Planner

    Daily and weekly views, multiple food options per meal, portion sizes, and easy swaps.

  • Appointments Calendar

    Schedule sessions, view reminders, and manage patient follow-ups.

  • Notes & File Uploads

    Add consultation notes, attach lab reports, and maintain history in one place.

  • Branded Report Generation

    Export professional PDF reports with your logo and brand colors.

Product landing page

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Following is the embed of the website

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THE PRODUCT

Try it NOW!

  • Sign Up, Google SSO / Email

  • Explore, mess around.

Try it NOW!

Some app snapshots

Sample Report

Built with AI

Lovable: Frontend, Supabase: Backend

ChatGPT: PRDs, feature briefs

Claude: Initial code generation and debugging

Grok: Brainstorming

Cursor: Edits, maintenance

Impact

  1. 10+ nutritionists signed up for beta, receiving continuous feedback and improving.

  2. Reports generated in under 2 minutes compared to 20–30 minutes manually.

  3. Iterated with real feedback

  4. High adoption even among non-tech-savvy professionals (feedback: “finally something I can actually use without training”).

  1. 10+ nutritionists signed up for beta, receiving continuous feedback and improving.

  2. Reports generated in under 2 minutes compared to 20–30 minutes manually.

  3. Iterated with real feedback

  4. High adoption even among non-tech-savvy professionals (feedback: “finally something I can actually use without training”).

Learnings!

Learnings!

Challenge

  • Balancing speed with depth, AI made iteration fast, but ensuring the outputs were thoughtful, cohesive, and user-friendly required me to slow down and refine constantly.

Surprise

User testing really shapes the product, buidling in isolation, versus co designing with ICP, is really differnet

Insight

A quiet interface beats feature density. Users were willing to switch from legacy software just because of better UX

Skills learnt

  • AI design and build pipelines,

  • RBAC thinking, and outcome focused product copy.

  • End-to-end product thinking

  • User testing, analytics

  • Designing with existing libraries.

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