<p><b>Startup description</b></p><p>My product is an AI-powered iOS nutrition tracking app that helps users scan meals, estimate calories, track macros, and monitor daily food intake from their phone.</p><p>The app was published on January 28, 2026, and is designed for users who want a simple way to track nutrition without manually entering every meal. It combines AI food recognition, calorie estimation, macro tracking, and a mobile-first user experience.</p><p><b>Key highlights:</b></p><p>• MRR May 2026: $231</p><p>• Proceeds March 2026: $915</p><p>• Proceeds April 2026: $131</p><p>• Annualized revenue based on current MRR: ~$2,772</p><p>• Backend: Python</p><p>• Tech stack: Swift UIKit</p><p>• Additional cost: OpenAI API, depending on usage</p><p>• Publication date: January 28, 2026</p><p>• Source code, Figma design, and post-sale support included</p><p><b>Team</b></p><p>The app was developed and managed by an experienced mobile app team responsible for iOS development, backend development, product design, App Store setup, monetization, ASO, and support.</p><p><b>Tech Stack</b></p><p>The iOS app is built with Swift UIKit, and the backend is built with Python. AI functionality is powered through OpenAI API, so operating costs depend on actual user activity and usage volume.</p><p><b>Marketing and growth</b></p><p>The app can grow through App Store Optimization, Apple Search Ads, Google App Campaigns, improved screenshots, keyword optimization, localization, content marketing, and paywall testing.</p><p>The AI calorie counter and food tracking niche has strong demand because users actively search for simple tools to scan meals, estimate calories, track macros, and monitor nutrition.</p><p><b>Revenue and profit</b></p><p>The app generated $915 in proceeds in March 2026 and $131 in April 2026, with a current MRR of $231 in May 2026. Based on current MRR, the annualized revenue run-rate is approximately $2,772.</p><p>The main variable operating cost is OpenAI API usage, which depends on the number of active users and AI requests.</p><p><b>Return on investment</b></p><p>This project is suitable for a buyer who wants to acquire a ready-made AI nutrition tracking app with existing revenue, source code, backend, design assets, and support included. ROI can be improved through better ASO, paid traffic, onboarding optimization, and subscription funnel improvements.</p><p><b>Startup assets</b></p><p>• Full source code</p><p>• Figma design</p><p>• Backend</p><p>• Support after sale</p><p>• Existing App Store product</p><p>• Current monetization setup</p><p><b>Risks</b></p><p>The main risks are App Store competition, OpenAI API costs, user retention, subscription churn, and the need for continued product improvements. These risks can be reduced by monitoring API usage, improving ASO, optimizing the paywall, and regularly updating the app.</p><p><b>Summary</b></p><p>My app is a ready-made AI nutrition tracking iOS app with existing revenue, backend infrastructure, and clear growth potential in the calorie counter and food tracking niche. It is a good fit for a buyer who wants to focus on marketing and monetization instead of building a new product from scratch.</p><p>✅ $1,117 TTM revenue</p><p>✅ 26 customers</p><p>✅ Business model: SaaS</p><p>✅ Built with Swift, OpenAI, Python</p>