Boxer AI generates $8.2K/mo with exceptional 50% margins and a 2.0x profit multiple—well below market for AI-native software with early traction. The listing is verified on TrustMRR and only six months old, signaling strong early product-market fit. Primary diligence should confirm paying customer count, churn/retention rates, and the source of that $8.2K revenue (direct sales, in-app, subscription mix) to validate the sustainability of this trajectory.
Building a comparable iOS computer-vision boxing coach from scratch using an AI API (e.g., MediaPipe, CoreML) plus Xcode and managed cloud hosting would cost $12K–$28K in developer time and infra, completed in 8–10 weeks. However, Boxer AI's primary value is not replicating the technical stack—it is the verified $8.2K/mo revenue stream, 50% unit margins, proven product-market fit with real paying users in a lean 6-month window, and the organic distribution/reputation required to acquire those customers. Rebuilding the software is quick and cheap; acquiring six months of paying users and establishing the brand and retention cohort maturity is the real cost. The 2.0x multiple is attractive relative to that customer traction, making acquisition the lower-risk path to owning this revenue base and user feedback loop.
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.
Boxer AI is an AI-powered boxing coach that turns your iPhone into a personal training partner. It uses the camera to track punches, analyze technique, and provide live feedback. Users can complete gu
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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.