ecomrestack

battles / Analytics

FullStory vs Graas

FullStory ($850/mo/mo, vibe code 3/10) vs Graas ($800/mo/mo, vibe code 3/10). Graas is the easier one to rebuild yourself — here is what you lose either way.

FullStory
KEEP

Analytics

$850/mo/mo

Vibe code3/10
Moat5/10
MVP
1 week
Full replacement
12-24 months, due to massive DOM storage scale, real-time query engines, and client-side PII masking.
get the build prompt →
Graas
KEEP

Analytics

$800/mo/mo

Vibe code3/10
Moat4/10
MVP
3 weeks
Full replacement
9-12 months, due to unstable marketplace API integrations and data warehousing pipelines

easier to rebuild

get the build prompt →

price gap / year

$600/mo

running both / year

$19,800/mo

our call

Start with Graas — highest vibe code, weakest moat.

FullStory

Wrapping rrweb into a web app takes a few days, but storing millions of DOM diffs without killing client performance or ballooning cloud database bills requires serious infrastructure engineering. Client-side PII masking, SOC2 compliance, and fast event indexing cannot be prompt-engineered.

you can rebuild

  • Client-side DOM event and mutation recording
  • Basic session replay video playback
  • Console logs and network request capturing
  • Simple click and scroll heatmaps
  • Basic funnel step tracking

what you lose

  • Automated client-side PII and sensitive input field masking before data transmission
  • Instant retroactive search over unindexed DOM text and element CSS selectors
  • Frustration heuristics like rage clicks, dead clicks, and error clicks
  • Enterprise compliance certifications including SOC2 Type II, HIPAA, and GDPR tooling
  • High-throughput event ingestion infrastructure optimized for gigabytes of raw DOM diffs

real moats

  • Patented client-side DOM capture and event compression engine
  • Proprietary retroactive search index over raw DOM mutation streams
  • SOC2 Type II, HIPAA, and strict client-side PII masking guarantees

open source escape hatches

Graas

Building data visualizations and baseline revenue forecasting in Python or Supabase is straightforward with AI assistance. However, maintaining reliable data connectors to unstable APIs like Shopee, Lazada, Tokopedia, and Meta while handling multi-currency inventory reconciliations requires full-time data engineering.

you can rebuild

  • Executive KPI dashboard showing unified revenue and spend metrics
  • Rule-based ad spend re-allocation recommendations
  • Basic safety-stock and reorder point alerts
  • Multi-channel sales performance aggregation charts
  • Automated daily/weekly PDF executive summary reports

what you lose

  • Pre-built resilient data connectors for Shopee, Lazada, and Tokopedia
  • Managed data warehousing and automated schema evolution support
  • Human-in-the-loop managed Growth-as-a-Service consulting
  • Cross-channel real-time inventory level synchronization triggers
  • Benchmarked APAC cross-merchant performance data insights

real moats

  • Maintained integrations with notoriously unstable regional marketplace APIs
  • Proprietary cross-channel attribution data schema
  • Bundled growth strategy services alongside software

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, FullStory or Graas?

Graas. It scores 3/10 on vibe code with a moat of 4/10, so an AI-assisted MVP takes about 3 weeks and a full replacement about 9-12 months, due to unstable marketplace API integrations and data warehousing pipelines.

Which one costs less, FullStory or Graas?

Graas at $800/mo/mo for a typical mid-market store. The gap between the two is about $600/mo a year.

What do I lose if I replace FullStory?

Automated client-side PII and sensitive input field masking before data transmission Instant retroactive search over unindexed DOM text and element CSS selectors Frustration heuristics like rage clicks, dead clicks, and error clicks

What do I lose if I replace Graas?

Pre-built resilient data connectors for Shopee, Lazada, and Tokopedia Managed data warehousing and automated schema evolution support Human-in-the-loop managed Growth-as-a-Service consulting

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