battles / Analytics

Cometly vs Sellerboard

Cometly ($399/mo/mo, vibe code 5/10) vs Sellerboard ($30/mo/mo, vibe code 5/10). Cometly is the easier one to rebuild yourself — here is what you lose either way.

NICHE

Analytics

$399/mo/mo

Vibe code5/10
Moat2/10
MVP
1 week
Full replacement
3-6 months, due to CAPI integration maintenance and browser identity resolution changes

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

$4,428/mo

running both / year

$5,148/mo

our call

Start with Cometly — highest vibe code, weakest moat.

Cometly

Building a basic UTM recorder with a dashboard takes a weekend. Replicating multi-touch attribution, server-side CAPI event deduplication, and maintaining ad platform API connections against breaking changes across Meta, Google, and TikTok is a full-time engineering effort.

you can rebuild

  • UTM parameter capturing and first-party cookie tracking scripts
  • First-touch and last-touch attribution SQL query logic
  • Analytics dashboard displaying CAC, ROAS, and ROI per ad campaign
  • Shopify webhook receiver for sales conversion ingestion
  • Basic server-side event payload generation

what you lose

  • Turnkey client/server event deduplication across Meta, TikTok, and Google
  • Automated token refresh and API schema maintenance across ad platforms
  • Pre-packaged identity stitching across multi-device user journeys
  • Ad spend ingestion pipelines that handle API rate limits and currency conversions
  • No-code Shopify theme app integration

real moats

  • Maintained native integrations with rapidly evolving ad platform APIs
  • First-party identity graph infrastructure optimized for browser privacy limits
  • Turnkey server-side tracking bypassing Safari ITP and ad blockers without custom DNS configuration

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, Cometly or Sellerboard?

Cometly. 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 CAPI integration maintenance and browser identity resolution changes.

Which one costs less, Cometly or Sellerboard?

Sellerboard at $30/mo/mo for a typical mid-market store. The gap between the two is about $4,428/mo a year.

What do I lose if I replace Cometly?

Turnkey client/server event deduplication across Meta, TikTok, and Google Automated token refresh and API schema maintenance across ad platforms Pre-packaged identity stitching across multi-device user journeys

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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