<p><b>Startup description</b></p><p>My product is a live iOS/iPadOS app that identifies aircraft from photos using AI. Users can take or upload a photo to receive the aircraft manufacturer, model, category, specifications, confidence rating, and other details.</p><p>The app launched in September 2025 and is aimed at aviation enthusiasts, plane spotters, travellers, and anyone wanting to quickly identify an aircraft.</p><p><b>Key highlights</b></p><ul> <li>Lifetime App Store proceeds: $900</li> </ul> <ul> <li>Total downloads: 548</li> </ul> <ul> <li>First-time downloads: 237</li> </ul> <ul> <li>App Store impressions: 7.77K</li> </ul> <ul> <li>Product page views: 480</li> </ul> <ul> <li>Average conversion rate: 4.63%</li> </ul> <ul> <li>In-app purchases: 59</li> </ul> <ul> <li>Day 35 download-to-paid rate: 8.99%</li> </ul> <ul> <li>MRR: US$97</li> </ul> <ul> <li>Monetization: US$6.99/week + US$49.99 lifetime</li> </ul> <ul> <li>App Store rating: 5.0 from 6 ratings</li> </ul> <p><b>Team</b></p><p>It is a solo-founder project. The founder handles development, backend infrastructure, AI integration, monetization, App Store management, ASO, support, and maintenance.</p><p><b>Tech Stack</b></p><ul> <li>React Native / Expo / TypeScript</li> </ul> <ul> <li>Convex backend</li> </ul> <ul> <li>Google Gemini Vision</li> </ul> <ul> <li>RevenueCat</li> </ul> <ul> <li>Expo Camera and Image Picker</li> </ul> <ul> <li>Singular analytics</li> </ul> <ul> <li>Expo/EAS deployment</li> </ul> <p><b>Marketing and growth</b></p><p>Growth has primarily come from App Store search and ASO, including keyword targeting, screenshots, and listing optimization.</p><p>The app has generated 548 downloads and $900 in proceeds with minimal marketing infrastructure.</p><p>Future growth opportunities include stronger ASO, localization, aviation-focused social content, creator partnerships, and paid acquisition.</p><p><b>Revenue and profit</b></p><p>The app is free to download and monetizes through:</p><ul> <li>$6.99 weekly subscription</li> </ul> <ul> <li>$49.99 lifetime purchase</li> </ul> <ul> <li>Lifetime proceeds: $900</li> </ul> <ul> <li>MRR: US$97</li> </ul> <ul> <li>In-app purchases: 59</li> </ul> <p>Operating costs are relatively low and mainly consist of Apple fees and third-party services such as Gemini, Convex, and RevenueCat.</p><p><b>Return on investment</b></p><p>Payback depends on the final purchase price and ongoing revenue.</p><p>The main opportunities to increase returns are improving conversion and retention, expanding ASO and localization, and increasing acquisition through paid and organic aviation channels.</p><p><b>Startup assets</b></p><ul> <li>Live iOS/iPadOS app</li> </ul> <ul> <li>App Store listing</li> </ul> <ul> <li>Full React Native/Expo source code</li> </ul> <ul> <li>Convex backend</li> </ul> <ul> <li>Gemini AI integration</li> </ul> <ul> <li>RevenueCat setup</li> </ul> <ul> <li>Subscription and lifetime purchase products</li> </ul> <ul> <li>Scan history and aircraft collections</li> </ul> <ul> <li>Share-card functionality</li> </ul> <ul> <li>App icon, screenshots, metadata, and supporting assets</li> </ul> <p><b>Risks</b></p><p>Main risks include dependence on Apple and third-party AI services, occasional AI identification errors, and the relatively early stage of the business.</p><p>These can be reduced through better analytics, continued model improvements, API monitoring, and ongoing App Store optimization.</p><p><b>Summary</b></p><p>The product is a live, monetized aircraft-identification app with demonstrated paid demand, low operating complexity, and clear opportunities for growth.</p><p>A buyer receives an established App Store product with working AI identification, subscriptions, lifetime purchases, backend infrastructure, and a complete codebase ready to be maintained or scaled.</p><p>✅ $900 TTM revenue</p><p>✅ 31 customers</p><p>✅ Business model:&nbsp;Freemium</p><p>✅ Built with React Native, RevenueCat</p>