Financial analysis · adoption-ready estimate

Shipcheck - Pre-Launch Scanner for AI-Built Apps

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

Fermi summary

Get 180 developers paying $25/mo and you're at $54k ARR - roughly a 31% shot at that, for an expected year-one take-home around $8.5k after costs.

Market size (TAM)

$45.0M

~300k developers actively shipping AI-built apps (Cursor/Copilot/Claude users) × $150/year avg spend on pre-launch tooling

Year-1 ARR range

$12k - $210k

midpoint $54k

Gross margin

72%

Investment to production

$4k

Dev: $1.5k for auth, Stripe billing, and scan result storage. Marketing: $1.5k for Product Hunt launch + targeted Twitter/X ads to vibe-code

Probability of success

31%

P(reaching mid case in 12 months)

Expected take-home Y1

$8k

probability-weighted, after investment

Go-to-market motion

Product Hunt + Show HN launch → SEO for 'AI app scanner / vibe code review' → free tier (1 scan/mo) drives word-of-mouth in indie hacker and vibe-coder communities.

Key risks

Vibe coders ship-and-fix rather than scan-first - the pre-launch behavior change required may not exist at meaningful scale
Semgrep, GitHub Actions CI, and free linters already cover static analysis - the 'AI-specific issues' wedge is thin and hard to defend
LLM scan costs scale with repo size; flat-rate pricing compresses margins fast if power users with large codebases adopt first

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.