PrivateInfer SDK ·

If an entrepreneur "adopted" this product today, here's the realistic math.

Fermi summary

Land 70 iOS dev shops at $50/month and you've got $42k ARR - but Apple ships free on-device AI in iOS 18 and the moat disappears overnight; 15% chance you build durable traction before that window closes.

Market size (TAM)

$4.8M

~8,000 iOS dev shops actively building AI features in privacy-sensitive verticals (healthcare, legal, enterprise BYOD) × $600/yr avg SDK licensing

Year-1 ARR range

$10k - $144k

midpoint $42k

Gross margin

88%

Investment to production

$33k

Dev: $17k for SDK hardening, multi-model support, documentation, example apps, and license enforcement. Marketing: $10k for Product Hunt lau

Probability of success

15%

P(reaching mid case in 12 months)

Expected take-home Y1

$-27460

probability-weighted, after investment

Go-to-market motion

iOS dev tutorial content + Product Hunt launch → indie dev community seeding (r/iOSProgramming, Swift forums) → direct outreach to healthcare and legal app studios where offline-only is a compliance requirement.

Key risks

Apple Intelligence (iOS 18+) delivers on-device LLM natively and for free, directly neutralizing the core value prop for mainstream developers
llama.cpp, MLC-LLM, and Apple's own MLX already handle iOS on-device inference open-source - developers in this niche already know about free alternatives
iPhone memory ceiling (4-8GB shared RAM) restricts usable models to heavily quantized 1-3B parameter variants, limiting output quality vs. cloud APIs and shrinking the believable use-case set

Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.