<p><b>Startup description</b></p><p>My app is an AI-powered architectural rendering and virtual staging platform for architects, interior designers, real-estate professionals, and property owners. Users upload a space or reference image, choose a structured template, and generate AI-enhanced interior/exterior visuals.</p><p>The product was built as a subscription-based mobile application with a production-ready backend, asynchronous image-generation workflow, template management, credit handling, and purchase infrastructure. It supports both iOS and macOS and Android.</p><p><b>Key highlights:<b></b></b></p><ul> <li>Annual revenue (trailing 12 months, gross): $7,752.12</li> <li>Annual proceeds after estimated App Store commissions, taxes, and refunds: $5,944.89</li> <li>Current MRR: $1,077.76</li> <li>Current ARR: $12,933.12</li> <li>Active paid subscriptions: 53</li> <li>Revenue-generating transactions, trailing 12 months: 722</li> <li>New customers tracked in RevenueCat, trailing 12 months: 6,759</li> <li>New paying customers, trailing 12 months: 297</li> <li>Realized 12-month LTV per paying customer: $26.10 gross</li> <li>New-user-to-paying conversion within 7 days: 3.31%</li> <li>Trial starts: 198</li> <li>Trial-to-paid conversion: 12.63%</li> <li>Latest complete-month subscription churn: 34.04%</li> <li>Store proceeds as a share of gross revenue: 76.69% — this is before AI, hosting, support, marketing, and operating costs.</li> </ul> <p><b>Tech Stack</b></p><ul> <li>iOS and macOS app: Swift, SwiftUI, MVVM</li> <li>Backend/database: Supabase, PostgreSQL, Edge Functions, TypeScript/Deno</li> <li>AI generation: Replicate API</li> <li>Image storage: Cloudflare R2</li> <li>Subscriptions and entitlement management: RevenueCat</li> <li>Push notifications: OneSignal</li> <li>Admin dashboard: Node.js, Express</li> <li>Landing page: Next.js</li> <li>Automated tests and release tooling: Xcode, Fastlane</li> </ul> <p><b>Revenue and profit</b></p><ul> <li>From December 20, 2025 to August 27, 2026, the app generated approximately $7,752 in gross App Store revenue. RevenueCat estimates $5,945 in proceeds after refunds, store commissions, and taxes.</li> </ul> <ul> <li>This results in an operating contribution of approximately $4,334.43, or a 72.9% contribution margin on App Store proceeds, before other overhead such as backend hosting, storage, support, and founder compensation.</li> </ul> <ul> <li>During the same operating period, Apple Search Ads spend was $1,317.10 and Replicate AI-generation usage was $293.36, including $19.58 of in-progress August usage. Total disclosed acquisition and AI-inference costs were therefore $1,610.46.</li> </ul> <ul> <li>Apple Search Ads generated 34 RevenueCat-attributed paying customers within seven days of acquisition during the measured period, implying an attributable paid CAC of approximately $38.74. Organic conversion performed materially better than paid acquisition: 4.57% versus 1.33% for Apple Search Ads.</li> </ul> <ul> <li>Current recurring-revenue metrics are $1,077.76 MRR, $12,933.12 ARR, and 53 active paid subscriptions. Realized 12-month gross LTV per paying customer is $26.10. The latest complete-month subscription churn was 34.04%, so retention improvement is a clear upside opportunity rather than a claim of stable recurring revenue.</li> </ul> <p><b>Return on investment</b></p><p>The project already has validated App Store revenue, subscription infrastructure, and a working AI-generation product. Its current economics provide a measurable starting point, while several major growth channels remain largely untested.</p><p>No systematic organic content program, Meta Ads, or TikTok Ads campaigns have been run to date. This leaves clear upside for a buyer with performance marketing, creator-content, or App Store optimization expertise.</p><p>Further ROI can come from expanding the template library, adding higher-value architectural workflows, improving onboarding and paywall conversion, reducing generation costs, and increasing retention.</p><p>The payback period will depend on the acquisition price, the buyer’s marketing budget, and execution. It should be evaluated against the current operating contribution, together with the incremental revenue generated through these untested growth channels.</p><p><b>Startup assets<b></b></b></p><ul> <li>.ai and .app domains</li> <li>Complete source code: iOS/macOS and android apps, backend, admin panel, and landing page</li> <li>Customer database and RevenueCat subscriber/revenue data</li> <li>Supabase, RevenueCat, Replicate, Cloudflare R2, and App Store setup/infrastructure</li> <li>Existing templates, AI-generation workflow, and product assets.</li> </ul> <p><b>Risks</b></p><p>The main risks are subscription churn, AI-generation costs, App Store policy changes, and the need for consistent marketing. Buyers can reduce these risks by optimizing retention and pricing, monitoring generation costs, diversifying acquisition channels, and continuing product development.</p><p><b>Summary</b></p><p>My app is a working AI rendering product with validated App Store revenue, active subscribers, complete source code, and established subscription and AI-generation infrastructure. The buyer acquires a ready-to-scale product with untapped growth potential through organic content, Meta Ads, TikTok Ads, new templates, and additional premium features.</p><p>✅ $7,740 TTM revenue</p><p>✅ 53 customers</p><p>✅ Business model: SaaS</p><p>✅ Built with Replicate, Swift, Cloudflare</p>