battles / Shipping

ShipHawk vs Sifted

ShipHawk ($1,500/mo/mo, vibe code 3/10) vs Sifted ($1,500/mo/mo, vibe code 4/10). ShipHawk is the easier one to rebuild yourself — here is what you lose either way.

Shipping

$1,500/mo/mo

Vibe code3/10
Moat4/10
MVP
2-4 weeks
Full replacement
9-15 months, due to complex LTL API logic, warehouse hardware integration, and 3D packing algorithms

easier to rebuild

get the build prompt →
KEEP

Shipping

$1,500/mo/mo

Vibe code4/10
Moat6/10
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
get the build prompt →

price gap / year

usage-based

running both / year

$36,000/mo

our call

Start with ShipHawk — highest vibe code, weakest moat.

ShipHawk

ShipHawk combines warehouse execution, physical hardware triggers, dimensional packing logic, and LTL freight rate shopping. While an AI prompt can build a basic parcel label printer over an API, replacing enterprise WMS hardware flows and LTL carrier logic requires deep operational engineering.

you can rebuild

  • Basic parcel carrier rate shopping (UPS, FedEx, USPS)
  • Rule-based carrier routing (e.g. ship cheapest under 5 lbs)
  • Web-based packing verification checklist UI
  • Simple shipping label PDF/ZPL generation
  • Order tracking update webhooks to e-commerce store

what you lose

  • Native LTL freight rating and automated Bill of Lading (BOL) generation
  • 3D bin packing and dimensional weight calculation algorithms
  • Handheld Zebra/Android barcode scanner execution app
  • Direct local network integration with USB/IP scales and label print servers
  • Deep bi-directional NetSuite/ERP inventory and status sync

real moats

  • Deep bi-directional ERP integration lock-in (e.g. NetSuite)
  • Engineered connections to legacy LTL freight carrier APIs and rate tables
  • High operational switching cost on active warehouse floors

open source escape hatches

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

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, ShipHawk or Sifted?

ShipHawk. It scores 3/10 on vibe code with a moat of 4/10, so an AI-assisted MVP takes about 2-4 weeks and a full replacement about 9-15 months, due to complex LTL API logic, warehouse hardware integration, and 3D packing algorithms.

Which one costs less, ShipHawk or Sifted?

ShipHawk at $1,500/mo/mo for a typical mid-market store. The gap between the two is about usage-based a year.

What do I lose if I replace ShipHawk?

Native LTL freight rating and automated Bill of Lading (BOL) generation 3D bin packing and dimensional weight calculation algorithms Handheld Zebra/Android barcode scanner execution app

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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