battles / Fraud
Signifyd vs Subuno
Signifyd ($2,000/mo/mo, vibe code 5/10) vs Subuno ($149/mo/mo, vibe code 6/10). Subuno is the easier one to rebuild yourself — here is what you lose either way.
Fraud
$2,000/mo/mo
- MVP
- 2-3 weeks
- Full replacement
- 12-18 months
Fraud
$149/mo/mo
- MVP
- 1 week
- Full replacement
- 6-12 months, due to third-party API integration maintenance and continuous rule optimization
easier to rebuild
get the build prompt →price gap / year
$22,212/mo
running both / year
$25,788/mo
our call
Start with Subuno — highest vibe code, weakest moat.
Signifyd
You can build the device fingerprinting script, rules engine, and Shopify order-hold webhook with AI in a weekend. What you cannot build is the bank balance required to reimburse merchants when your algorithm misclassifies a $3,000 stolen-card order.
you can rebuild
- Order hold and manual review queue automation
- Device fingerprinting and session analytics collection
- Custom risk-scoring rules engine (IP velocity, address matching, order value limits)
- Webhook routing to Shopify, Magento, and WooCommerce for order cancellation
- Basic chargeback notification webhook listeners
what you lose
- 100% financial chargeback guarantee on approved orders
- Access to Signifyd's 10,000+ merchant global identity graph
- Automated 48-hour chargeback reimbursement payouts
- Third-party enterprise liability offloading for accounting audit compliance
- Dedicated human fraud analysts for manual order re-reviews
real moats
- Balance sheet reserves capable of liquidating millions in chargeback indemnifications monthly.
- Cross-merchant device and identity graph built over a decade across 10,000+ enterprise retailers.
- Direct integrations into card network early-warning feeds (Ethoca, Verifi, RDR).
open source escape hatches
- FraudLabs / open rules engines (Drools) Apache-2.0
- Feedzai alternatives — River BSD-3
- MaxMind minFraud open clients Apache-2.0
Subuno
Subuno's underlying tech is an IF/THEN rules engine connected to third-party identity/risk lookup services. Rebuilding the UI and rule execution in Node.js is trivial, but maintaining contracts, schema mappings, and API keys for a dozen external fraud vendors is not worth the overhead for most merchants.
you can rebuild
- Custom IF/THEN rule engine for flagging high-risk orders
- Manual order review queue with approve/reject actions
- Email alerts and webhook triggers for flagged transactions
- Basic IP geolocation and address verification (AVS) checks
- Custom merchant-defined whitelists and blacklists
what you lose
- Pre-integrated access to 15+ external fraud data providers
- Unified billing and unified payload normalization across third-party identity APIs
- Cross-merchant shared bad-actor detection network
- Zero-maintenance e-commerce store platform plugins
- Turnkey automated order status updating in connected store platforms
real moats
- Aggregated integration maintenance across a broad mesh of specialized risk APIs
- Cross-merchant shared blacklists and fraud signal history
- Low subscription fee relative to managing multi-vendor API overhead directly
open source escape hatches
- json-rules-engine MIT
- Ruru MIT
- Activepieces MIT
Questions people ask
Which is easier to rebuild with AI, Signifyd or Subuno?
Subuno. It scores 6/10 on vibe code with a moat of 3/10, so an AI-assisted MVP takes about 1 week and a full replacement about 6-12 months, due to third-party API integration maintenance and continuous rule optimization.
Which one costs less, Signifyd or Subuno?
Subuno at $149/mo/mo for a typical mid-market store. The gap between the two is about $22,212/mo a year.
What do I lose if I replace Signifyd?
100% financial chargeback guarantee on approved orders Access to Signifyd's 10,000+ merchant global identity graph Automated 48-hour chargeback reimbursement payouts
What do I lose if I replace Subuno?
Pre-integrated access to 15+ external fraud data providers Unified billing and unified payload normalization across third-party identity APIs Cross-merchant shared bad-actor detection network
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