CalZen AI Food Calorie Counter

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~$45.0K/mo· 50.0K+ Installs· 4.8 ★· 28 Steps· Lifestyle· Health And Fitness

App Showcase: CalZen

App info

What it does

CalZen is an AI-powered calorie and macro tracking app designed to simplify food logging. The core of the app is its ability to analyze meals from a photo, automatically identifying ingredients and calculating nutritional information. It also allows for manual entry via text description or by selecting photos from the user's camera roll, catering to various logging preferences.

Where it shines

CalZen excels in its user-centric approach to AI. The "Fix Result" feature (03:24) is a standout moment, allowing users to correct the AI's analysis by typing in missing ingredients or adjustments. This turns a potential point of failure into a collaborative process, building trust and improving the system over time. The main dashboard (02:51) is clean and effective, focusing on the essential data: calories left, and progress bars for protein, fats, and carbs.

UX highlights

Monetization & growth

Monetization is introduced after the user has invested significant time and data into the onboarding process. A paywall with three subscription tiers appears at 02:23, immediately after the personalized plan is revealed. The app also employs a clever exit-intent strategy; when a user tries to close the subscription screen later, a modal (05:58) appears offering a 50% discount to recapture their interest.

Who it’s for

This app is for individuals who want to track their calorie and macronutrient intake for goals like weight loss but are deterred by the tediousness of manual food logging. It appeals to tech-savvy users who appreciate the convenience of AI and want a personalized, data-driven approach to their diet.

Notes & opportunities

The initial calorie recommendation of 841 (02:13) appears extremely low and could be jarring or even concerning for some users. The fact that the user immediately edits it to a more standard 1200 suggests that the initial AI calculation might benefit from better explanation or more conservative defaults. Providing context around why a specific number was chosen could improve user trust in the generated plan.

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