battles / Payments
Paydock vs Splitit
Paydock ($1,500/mo/mo, vibe code 3/10) vs Splitit ($500/mo/mo, vibe code 3/10). Paydock is the easier one to rebuild yourself — here is what you lose either way.
Payments
$1,500/mo/mo
- MVP
- 3 weeks
- Full replacement
- 12-24 months, due to PCI-DSS Level 1 certification, token vault security, and ongoing API maintenance for dozens of gateways.
easier to rebuild
get the build prompt →Payments
$500/mo/mo
- MVP
- 2 weeks
- Full replacement
- 12-24 months, due to PCI-DSS Level 1 compliance, card scheme authorizations, and acquirer underwriting
price gap / year
$12,000/mo
running both / year
$24,000/mo
our call
Start with Paydock — highest vibe code, weakest moat.
Paydock
Building conditional payment routing logic in AI is trivial, but operating a PCI-DSS Level 1 card vault is an absolute dealbreaker for DIY builds. Paydock's core value is isolating your infrastructure from PCI compliance scope while maintaining normalized integrations to dozens of changing PSP APIs.
you can rebuild
- Rule-based routing logic using currency, amount, or geography
- Primary and secondary gateway failover state machines
- Unified transaction status logs and basic analytics dashboard
- Normalized internal charge and refund requests API
- Webhook ingestion and status synchronization pipelines
what you lose
- PCI-DSS Level 1 compliance scope reduction for cardholder data
- Zero-scope hosted card fields and client-side iframe tokenization
- Pre-built maintenance for 30+ payment processor API specifications
- Processor-agnostic token vaulting independent of underlying PSPs
- Enterprise-grade uptime SLAs and sub-second payment failover
real moats
- PCI-DSS Level 1 security compliance and audit isolation
- Broad maintenance of volatile third-party payment gateway APIs
- Independent card tokenization vault decoupled from specific PSPs
open source escape hatches
- Hyperswitch Apache-2.0
- Kill Bill Apache-2.0
- Open Payments Server Apache-2.0
Splitit
Building a script to charge a stored payment token every 30 days is straightforward. However, replicating Splitit's core model—holding total purchase amounts against existing credit limits and re-authorizing them without triggering fraud blocks—requires specialized acquirer integration and strict regulatory compliance.
you can rebuild
- Storefront installment calculator widget
- Scheduled monthly off-session payment charge scheduler
- Basic email notifications for failed card charges
- Customer billing portal for card updates
- Merchant analytics dashboard for installment tracking
what you lose
- Automated credit hold maintenance against customer credit card limits
- Card scheme compliant long-term re-authorization strategies
- PCI-DSS Level 1 card vaulting and tokenization infrastructure
- Native checkout app integrations for major ecommerce platforms
- Merchant risk underwriting and dispute management
real moats
- PCI-DSS Level 1 certification and regulatory compliance
- Direct payment acquirer integrations and card scheme authorizations
- Underwriting framework for handling merchant default risk
open source escape hatches
- Kill Bill Apache-2.0
- Lago AGPL-3.0
- Payload CMS MIT
Questions people ask
Which is easier to rebuild with AI, Paydock or Splitit?
Paydock. It scores 3/10 on vibe code with a moat of 6/10, so an AI-assisted MVP takes about 3 weeks and a full replacement about 12-24 months, due to PCI-DSS Level 1 certification, token vault security, and ongoing API maintenance for dozens of gateways..
Which one costs less, Paydock or Splitit?
Splitit at $500/mo/mo for a typical mid-market store. The gap between the two is about $12,000/mo a year.
What do I lose if I replace Paydock?
PCI-DSS Level 1 compliance scope reduction for cardholder data Zero-scope hosted card fields and client-side iframe tokenization Pre-built maintenance for 30+ payment processor API specifications
What do I lose if I replace Splitit?
Automated credit hold maintenance against customer credit card limits Card scheme compliant long-term re-authorization strategies PCI-DSS Level 1 card vaulting and tokenization infrastructure
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