Analytics and monitoring decision

Smartlook

A useful minimal session-replay and event-analytics workflow is feasible for a small team to build and run, but reproducing Smartlook's enterprise-scale infrastructure, integrations, and advanced AI features is not practical for a single developer.

Visit website
You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off80 h to build

$200/mo20 h/mo upkeep

No published price to break even against.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Smartlook alternatives, with the arithmetic →

What a replacement has to do

  • Capture user sessions (events + recording) from clients, store and index them, and provide a web UI to search and replay sessions and view simple heatmaps.

What it still won’t have

  • Enterprise-grade scalability and multi-tenant infra optimizations
  • Advanced AI anomaly detection surfaced by vendor
  • Native integrations with Splunk/enterprise products
  • Commercial support, guarantees, and long-term data retention SLAs
  • Polished dashboards and advanced filtering UX

What remains hard

  • Infrastructure at scaleContinue to leverage the tools you trust—session replay, conversion funnels, heatmaps, and journey maps—now within a robust and scalable ecosystem.
  • Integration maintenanceUnified enterprise-grade platform: Seamlessly integrated with Real User Monitoring, Synthetics, and other Splunk products, Digital Experience Analytics provides end-to-end visibility by correlating experience insights with broader performan
Read the build prompt

First-year cost

No published price

Smartlook does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted session replay + event analytics service using Node.js (Express) backend, Postgres for events/indexes, S3-compatible storage (MinIO or AWS S3) for session blobs, and a React frontend. In scope: client JS SDK to capture events and DOM snapshots, ingestion endpoints, storage of blobs to S3, event indexing in Postgres, search API, session replay player (timeline + play/pause + jump to events), and a basic heatmap generator (aggregate click coordinates). Out of scope: enterprise multi-tenant billing, advanced AI anomaly detection, and Splunk integrations. Include input validation, error handling, CI tests for API endpoints, and end-to-end test of capture->replay flow.
How we checked5 sources · 2/3 runs agreed · evidence score 57

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Hard moats found in the evidence-3
  • Evidence score57

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 2 moats quoted from the page