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↗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 scale
Continue to leverage the tools you trust—session replay, conversion funnels, heatmaps, and journey maps—now within a robust and scalable ecosystem.
- Integration maintenance
Unified 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
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
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
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 checked
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.
- official productSmartlook home / product and FAQ
- official pricingSmartlook pricing / End of Sale notice
- official docsSmartlook features / docs
- open sourcePostHog/posthog
- open sourceopenreplay/openreplay
Integrity checks
What held up, and what did not.
