battles / Shipping
ProShip vs Sifted
ProShip ($4,500/mo/mo, vibe code 3/10) vs Sifted ($1,500/mo/mo, vibe code 4/10). Sifted is the easier one to rebuild yourself — here is what you lose either way.
Shipping
$4,500/mo/mo
- MVP
- 2 weeks
- Full replacement
- 12-24 months, due to carrier compliance certifications, ZPL print daemons, and sub-second execution SLAs
Shipping
$1,500/mo/mo
- MVP
- 2 weeks
- Full replacement
- 12-18 months, due to carrier API instability, EDI 210 parser edge cases, claim filing automation, and lack of cross-merchant rate benchmark data
easier to rebuild
get the build prompt →price gap / year
$36,000/mo
running both / year
$72,000/mo
our call
Start with Sifted — highest vibe code, weakest moat.
ProShip
Rebuilding a basic rate-shopping dashboard with EasyPost or ShipEngine APIs takes a weekend. Rebuilding ProShip's local high-speed print engines, scale integrations, and certified carrier logic for millions of packages will break your distribution center.
you can rebuild
- Basic REST API rate shopping across primary carriers
- Shipping label PDF generation and storage
- Package tracking status webhooks and order updates
- Basic origin and destination address validation
- Static packing slip generation and web-based dashboard
what you lose
- Sub-millisecond high-speed engine execution for automated warehouse lines
- Native hardware drivers for scales, dimensioners, and thermal print-and-apply systems
- Certified carrier compliance updates for FedEx, UPS, DHL, and regional carriers
- Automated HazMat and dangerous goods shipping documentation engines
- On-premise high-availability fallbacks for offline warehouse operations
real moats
- Certified direct-carrier integrations and compliance engine updates
- Deep WMS/ERP and warehouse automated hardware ecosystem lock-in
- Sub-second SLA execution speed at massive transaction volumes
open source escape hatches
- Karrio Apache-2.0
- node-thermal-printer MIT
- CUPS Apache-2.0
Sifted
Ingesting carrier CSVs and flagging late deliveries in a local database takes less than two weeks. However, automating claim submissions across anti-bot carrier portals and leveraging anonymized rate benchmarks from billions in shipping spend cannot be replicated in-house.
you can rebuild
- Carrier invoice CSV and flat-file parsing
- Basic tracking SLA breach detection
- Historical shipping spend breakdown by zone and service level
- Dimensional weight surcharge anomaly alerts
- Basic package volume and shipping cost reporting dashboards
what you lose
- Automated refund claim submission pipelines to carrier web portals
- Anonymized cross-shipper carrier rate benchmarking data
- Predictive contract modeling based on historic shipping profiles
- Handling of legacy carrier EDI 210/214 format updates
- Dedicated carrier negotiation advisory support
real moats
- Proprietary benchmark dataset of thousands of carrier contracts across billions in parcel spend
- Automated claim submission integrations resilient to carrier portal friction and anti-scraping changes
- Deep domain knowledge of carrier tariff schedules and seasonal surcharge rule-sets
Questions people ask
Which is easier to rebuild with AI, ProShip or Sifted?
Sifted. It scores 4/10 on vibe code with a moat of 6/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 12-18 months, due to carrier API instability, EDI 210 parser edge cases, claim filing automation, and lack of cross-merchant rate benchmark data.
Which one costs less, ProShip or Sifted?
Sifted at $1,500/mo/mo for a typical mid-market store. The gap between the two is about $36,000/mo a year.
What do I lose if I replace ProShip?
Sub-millisecond high-speed engine execution for automated warehouse lines Native hardware drivers for scales, dimensioners, and thermal print-and-apply systems Certified carrier compliance updates for FedEx, UPS, DHL, and regional carriers
What do I lose if I replace Sifted?
Automated refund claim submission pipelines to carrier web portals Anonymized cross-shipper carrier rate benchmarking data Predictive contract modeling based on historic shipping profiles
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