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NutriGenie

NutriGenie

Quiet
#64 Radar 56

An AI food coach that provides personalized nutrition advice based on your fitness goals.

App Store → 4.64★· 11 ratings
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Product memo

NutriGenie serves as an AI Food Coach for individuals seeking personalized nutrition advice to achieve specific fitness goals. By scanning barcodes, it helps users make informed dietary choices, avoiding foods that hinder progress towards goals like hitting new PRs, losing fat, or improving mile times.

For who

Individuals with fitness goals

Solves what

Provides personalized nutrition advice based on goals and health conditions.

  • AI-powered food coach
  • Barcode food scanner
  • Goal-aligned dietary recommendations

In their own words

NutriGenie - AI Food Coach

Meet the NutriGenie, your AI Food Coach!

Commercial cues

Pricing snapshot free only with free tier

Model

free only

Free tier

Yes

Trial

No

No public pricing tiers captured.

Pricing Strategy

Freemium model offering core AI nutrition advice for free, with potential for in-app purchases.

Key Tactics
  • Free tier provides core AI nutrition guidance
  • In-app purchases offer advanced features or content
  • Focus on user acquisition via free access

Operator context

Operating setup

Team

Indie / lean

LLM classification

HQ

United States

Platform

Mobile

Audience

Consumers

Payments

RevenueCat

Detected via TrustMRR

Builder Strategy

Strategy Type
Niche Specialist
Stage
Bootstrapped Lean
Effort
Solo Buildable
About NutriGenie Expand

NutriGenie acts as an AI Food Coach, providing personalized nutrition advice tailored to individual fitness goals, health conditions, and dietary needs. Users can set their objectives and scan any food barcode to instantly determine if it aligns with their targets.

This allows for smarter food choices, helping users avoid ingredients that might hinder progress towards goals such as achieving new personal records, reducing body fat, or improving athletic performance. The app simplifies healthy eating by offering clear, actionable guidance based on scanned food data and user-defined aspirations.