What it does
Eatwise is an AI-powered health and fitness app designed to simplify nutrition tracking. Its core feature is a food scanner that identifies meal ingredients from a photo to automatically calculate calories and macronutrients. Beyond tracking, the app provides personalized meal plans, an intermittent fasting timer, and an integrated AI coach to answer health-related questions and offer guidance.
Where it shines
The app's standout moment is its AI food scanning. At 04:03, the user simply takes a photo of a salad, and the app quickly identifies the ingredients and provides a detailed nutritional breakdown. This removes the tedious manual entry that plagues many calorie counters. Another strong point is the AI Coach. At 05:18, the user asks for meal alternatives, and the coach provides a thoughtful, structured list of suggestions, elevating the app from a simple tool to a supportive partner. The meal planning section is also robust, allowing users to easily swap meals in their weekly plan (10:18), which makes sticking to a diet much more flexible.
UX highlights
- Interactive Onboarding: The initial quiz uses visual sliders for height and weight (00:52), making data entry more engaging than standard text fields.
- Early Value Visualization: A projected progress graph is shown early in the onboarding (00:47), which helps motivate users by showing them a preview of their potential success.
- Gamified Achievements: The app rewards key user actions with badges, like the "Data Master!" badge after the first meal scan (04:59), creating positive feedback loops.
- Actionable Nutrition Grades: Every logged meal receives a letter grade (e.g., B+ at 05:11), providing a simple, at-a-glance assessment of its healthiness.
- Contextual AI Prompts: The AI coach offers suggested questions based on the user's recent activity, lowering the barrier for engagement.
- Comprehensive Progress Tracking: The "My Progress" screen (13:10) centralizes everything from weight logs and nutrition stats to achievements, offering a holistic view of the user's journey.
Monetization & growth
Monetization is handled through a subscription model, presented after a lengthy and personalized onboarding quiz. At 02:34, the user encounters a paywall that defaults to a 3-day free trial for a weekly plan. The paywall also features a lifetime purchase option with a significant discount ("Save 83%"), creating a compelling alternative. The app uses a custom notification warm-up screen at 03:07 to increase opt-in rates, which is a common growth tactic.
Who it’s for
The app is designed for individuals who want to lose weight or manage their diet but are frustrated with the manual effort required by traditional calorie counters. Its AI features appeal to tech-savvy users looking for a smarter, more automated solution. The inclusion of meal planning and an AI coach also makes it suitable for those who need more guidance and structure in their health journey.
Notes & opportunities
The onboarding process is very long, which could lead to some user drop-off despite its personalization. The app could potentially test a shorter quiz to get users to the core product faster. While the AI scanner is impressive, the app has a fallback for manual text input, but it could be more prominently featured for users who prefer it or when a scan fails. Finally, the social sharing feature is limited to a simple link (14:50), missing an opportunity to create more visually engaging, shareable progress reports that could drive organic growth.