battles / Analytics

Baremetrics vs Sellerboard

Baremetrics ($250/mo/mo, vibe code 5/10) vs Sellerboard ($30/mo/mo, vibe code 5/10). Baremetrics is the easier one to rebuild yourself — here is what you lose either way.

Analytics

$250/mo/mo

Vibe code5/10
Moat2/10
MVP
1 week
Full replacement
3-6 months, due to complex historical MRR calculation edge cases and dunning retry logic

easier to rebuild

get the build prompt →

Analytics

$30/mo/mo

Vibe code5/10
Moat3/10
MVP
1 week
Full replacement
3-6 months, due to Amazon API developer approval and data parsing edge cases
get the build prompt →

price gap / year

$2,640/mo

running both / year

$3,360/mo

our call

Start with Baremetrics — highest vibe code, weakest moat.

Baremetrics

Building a basic SaaS subscription dashboard displaying MRR and active subscribers takes a few days with Stripe Webhooks. However, handling complex pro-rated upgrades, refunds, discounts, and automated credit card retry campaigns requires significant edge-case engineering.

you can rebuild

  • MRR and ARR metric calculation dashboards
  • Customer churn and expansion tracking
  • Cohort retention matrix calculation
  • Subscription status lifecycle visualization
  • Cancellation reason collection surveys

what you lose

  • Automated dunning email sequences with custom hosted credit card update forms
  • Turnkey industry benchmarking comparisons across SaaS and subscription brands
  • Multi-gateway consolidation (combining Stripe, Braintree, and App Store billing)
  • Out-of-the-box handling of Stripe proration and credit balance edge cases
  • Automated credit card account updater synchronization network integration

real moats

  • Deep handling of historical edge cases across multi-gateway billing APIs
  • Turnkey dunning automation engine with proven email recovery workflows
  • battle-tested historical MRR waterfall calculation rules engine

open source escape hatches

Sellerboard

The math behind Sellerboard (Revenue - Amazon Fees - COGS - Ad Spend) is simple to implement in a weekend. However, securing Amazon SP-API access approval and managing complex flat-file report parsing make self-building high friction for small operations.

you can rebuild

  • Real-time profit and loss dashboard calculating Net Profit, Margin, and ROI
  • Manual and CSV batch upload interface for Product COGS and shipping costs
  • Basic inventory velocity tracking and restock alert calculations
  • PPC advertising spend and revenue breakdown per campaign and ASIN
  • Custom operational expense tracking (software subscriptions, virtual assistants, prep fees)

what you lose

  • Pre-approved Amazon SP-API application credentials avoiding Amazon security audits
  • Automated FBA reimbursement claim identification and dispute workflows
  • Pre-built handling of complex Amazon fee types, storage charges, and reserves
  • Automated PPC bid adjustment rule execution engine
  • Built-in Amazon buyer autoresponder and review request automation

real moats

  • Amazon SP-API Developer approval and Data Protection Policy compliance clearance
  • Resilient ingestion pipeline for Amazon's asynchronous, shifting report formats
  • Zero-friction OAuth seller account onboarding

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, Baremetrics or Sellerboard?

Baremetrics. It scores 5/10 on vibe code with a moat of 2/10, so an AI-assisted MVP takes about 1 week and a full replacement about 3-6 months, due to complex historical MRR calculation edge cases and dunning retry logic.

Which one costs less, Baremetrics or Sellerboard?

Sellerboard at $30/mo/mo for a typical mid-market store. The gap between the two is about $2,640/mo a year.

What do I lose if I replace Baremetrics?

Automated dunning email sequences with custom hosted credit card update forms Turnkey industry benchmarking comparisons across SaaS and subscription brands Multi-gateway consolidation (combining Stripe, Braintree, and App Store billing)

What do I lose if I replace Sellerboard?

Pre-approved Amazon SP-API application credentials avoiding Amazon security audits Automated FBA reimbursement claim identification and dispute workflows Pre-built handling of complex Amazon fee types, storage charges, and reserves

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