Fraud Signal - Real-time Fraud Detection for Crypto Exchanges

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

Fermi summary

Close 5 exchanges at $35k each = $175k ARR, but SOC 2 costs, 4-month sales cycles, and per-customer integration work mean you'll burn $95k before seeing meaningful revenue - 9% shot at breaking even in year 1.

Market size (TAM)

$8.0M

~250 active crypto exchanges globally that realistically buy third-party fraud detection (top 20 build in-house, many small ones can't afford it) × $32k avg annual contract value

Year-1 ARR range

$55k - $480k

midpoint $175k

Gross margin

71%

Investment to production

$95k

Dev: $50k for real-time transaction pipeline, ML scoring engine, alerting UI, and per-exchange API connectors. SOC 2 readiness + legal revie

Probability of success

P(reaching mid case in 12 months)

Expected take-home Y1

$-83800

probability-weighted, after investment

Go-to-market motion

Direct outbound to crypto exchange CTOs and compliance leads via LinkedIn + 2 crypto conferences/year → 8 demos/month → 1-2 closes/quarter at $30k-$40k ACV with 4-month average sales cycle.

Key risks

SOC 2 Type II is a hard vendor requirement at nearly every serious exchange - it takes 6-12 months to obtain and will kill your pipeline while you wait
Every exchange uses a different transaction data schema; each new customer is a custom integration project in disguise, quietly destroying your margins and delaying go-live
The exchanges with the most fraud volume (top 50) already have in-house solutions - you're left selling to smaller exchanges who are also most likely to go bust mid-contract and ghost on renewal

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.