Historical review from 2026-10-16. Current price and availability are unconfirmed; check the original marketplace.
This verified AI-powered face search app generates $2.5K/mo revenue with exceptional 90% profit margins and a 2.4x annual profit multiple—well below typical SaaS benchmarks. The business demonstrates strong unit economics and platform-verified financials. However, the lack of disclosed customer count, retention data, revenue history, and organic/paid growth attribution requires confirmation before committing to acquisition; app store monetization models can be volatile without demonstrated durability.
Building a face-search MVP using OpenAI/Anthropic APIs, open-source computer vision libraries (OpenCV, face_recognition), cloud storage (AWS S3), and a basic subscription backend would cost $8K–$18K in cloud infrastructure, AI service subscriptions, and app store deployment over 10 weeks. However, the verified $2.3K/mo profit and App Store distribution already in place represent genuine business traction that a solo founder would struggle to replicate quickly. The acquisition captures paid users, operating knowledge, and revenue durability without rebuilding the entire user acquisition funnel—a significant advantage. Key risk: app-store algorithm dependency and regulatory uncertainty around face-matching make the traction less durable than recurring B2B SaaS; confirm retention and compliance posture before committing.
Cash estimate includes the AI tools, APIs and infrastructure needed for a solo founder to recreate the software. Build time is informational and lightly weighted. The verdict is driven mainly by customers, users, verified earnings, retention, distribution, brand, data and operating history.
AI-powered face search app that helps users find potential matches for photos across publicly available online sources. Available on the App Store, the app monetizes through premium access and credit
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Preliminary screening based on marketplace and public data. Verify all financial, legal, technical, customer, and operational claims independently before making an acquisition decision. This is not financial or legal advice.