battles / Fraud
Subuno vs Vesta
Subuno ($149/mo/mo, vibe code 6/10) vs Vesta ($1,500/mo/mo, vibe code 3/10). Subuno is the easier one to rebuild yourself — here is what you lose either way.
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 →Fraud
$1,500/mo/mo
- MVP
- 1 week
- Full replacement
- Never, due to chargeback financial underwriting and proprietary global risk network
price gap / year
$16,212/mo
running both / year
$19,788/mo
our call
Start with Subuno — highest vibe code, weakest moat.
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
Vesta
While building a device fingerprint collector and rule-based risk dashboard takes days, Vesta's core offering is zero-liability financial guarantees and cross-merchant network signals. AI agents cannot generate financial underwriting balance sheets or billions of historical fraud data points.
you can rebuild
- Basic rule-based risk scoring engine (velocity, country blocklists)
- Client-side device fingerprinting collector script
- Order approval and rejection queue for manual review
- IP geolocation, proxy, and VPN detection API integration
- Threshold-based 3D Secure dynamic triggers
what you lose
- 100% zero-liability chargeback reimbursement guarantee
- Cross-merchant consortium dataset tracking fraudsters across thousands of stores
- Machine learning models trained on billions of historical card transactions
- Automated chargeback evidence submission and dispute handling
- Dedicated fraud analyst teams and custom enterprise risk models
real moats
- Financial balance sheet supporting chargeback indemnification
- Global cross-merchant graph dataset linking identities, devices, and cards
- Proprietary ML models trained on real-world dispute outcomes
open source escape hatches
- FingerprintJS (Open Source) MIT
- Ruru Engine Apache-2.0
- Zen Engine MIT
Questions people ask
Which is easier to rebuild with AI, Subuno or Vesta?
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, Subuno or Vesta?
Subuno at $149/mo/mo for a typical mid-market store. The gap between the two is about $16,212/mo a year.
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
What do I lose if I replace Vesta?
100% zero-liability chargeback reimbursement guarantee Cross-merchant consortium dataset tracking fraudsters across thousands of stores Machine learning models trained on billions of historical card transactions
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