Nutrition Tracker: Foodnoms

What it does

Foodnoms is a detailed nutrition tracking application for iOS. It allows users to log their food intake, monitor calories and macronutrients against personalized goals, and build a library of custom foods, recipes, and meals. The app differentiates itself with advanced tools, including AI-powered logging from photos and web links, and extensive customization options for serious tracking.

Where it shines

Foodnoms excels in its flexibility and powerful data entry tools. The AI-powered recipe import at 06:48 is a great example. The user simply pastes a URL, and the app transparently parses all ingredients, showing its work in real-time. Another strong moment is the food logging flow (02:50), which allows for granular control over portion units and accuracy, a feature often overlooked in simpler apps. Finally, the ability to create and save custom meals (08:08) and favorites (04:57) makes logging recurring foods incredibly efficient.

UX highlights

Multiple Logging Methods: The app supports diverse user needs with options for searching (02:22), barcode scanning (03:39), nutrition label scanning (05:54), quick calorie entry (05:33), and AI estimation (10:01).
Transparent AI: When importing recipes or analyzing images, the app displays a step-by-step log of the AI's process (06:57), building trust by showing both successes and failures.
Granular Control: Users can specify not just the amount but also the unit (grams, oz, servings) and accuracy of each food entry (02:58), catering to both precise and casual tracking styles.
Actionable Daily Summary: The daily summary view (12:04) provides a clear breakdown of nutrient totals, macros, and calorie balance, offering a comprehensive overview of the day's intake.
Robust Customization: From reordering goals on the dashboard (11:01) to creating custom meal types (13:44) and changing the app icon (14:38), the app offers deep personalization.
Responsible Design: The app includes a health safety warning for low-calorie goals (01:21), demonstrating a commitment to user well-being.

Monetization & growth

Monetization is introduced during onboarding with a paywall at 01:43. The screen clearly presents a 7-day free trial for an annual plan, using social proof like an Apple design award and user testimonials to build value. It highlights a discount ('Save 44%') and shows the monthly cost breakdown to make the annual price seem more accessible. The app also offers family plans, which can be accessed via a toggle (01:53). This single paywall at the end of the personalization flow is the primary monetization event shown.

Who it’s for

Foodnoms appears to be designed for two main user groups. The first is the data-driven individual who is serious about tracking their nutrition with precision. Features like granular accuracy settings, extensive nutrient data, and custom food creation cater directly to this audience. The second group is the user looking for maximum convenience. AI-powered features like recipe import and photo logging significantly lower the barrier to entry for tracking complex, homemade meals.

Notes & opportunities

The AI-powered features are impressive but not infallible. The image recognition for the salad (09:18) failed to find a complete match, and the recipe import couldn't identify every ingredient (07:02). While the transparency is excellent, the user is left to manually resolve these gaps. An opportunity exists to guide the user through correcting these AI misses, perhaps by suggesting replacements or prompting for more information on the unfound items. This could make the AI features even more powerful and user-friendly.