Analytics and monitoring decision

Mouseflow

A small team or skilled engineer can build a basic session recorder, replay player and heatmap aggregator (suitable for low traffic) but reproducing Mouseflow’s full product (Mina AI, MCP server, enterprise features, scale and compliance guarantees) is a larger effort and not covered by this minimal replacement.

Visit website
Subscription$25/month ✓ verified
Initial build80 hours
Monthly upkeep12 hours + $0
Evidence2/3 runs agree

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 Mouseflow alternatives, with the arithmetic →

What a replacement has to do

  • Capture user events in-browser, store session event streams, render session replays, aggregate heatmaps from events, filter and play sessions in a web UI

What it still won’t have

  • Built-in Mina AI insights and MCP server for natural-language queries
  • Enterprise features: CSM, priority support, SSO and SLA
  • Large-scale storage and guaranteed 100% recording at high traffic
  • Prebuilt integrations and polished multi-domain management
  • Legal/compliance assurances and European-hosted defaults

What remains hard

  • Brand trustTrusted by 210,000+ digital experience frontrunners worldwide
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

Paid seatsseats

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 website behavior analytics service using Node.js (Express), a Postgres DB, Redis, and S3-compatible object storage. Implement: 1) a lightweight JS recorder that captures clicks, scrolls, mouse movement, and DOM snapshots and posts batched events to an ingestion API; 2) ingestion endpoints that persist session event streams and snapshots; 3) a replay renderer page that reconstructs DOM snapshots and plays back events with time controls; 4) a background worker that aggregates events into per-page click/scroll heatmap tiles; 5) a web UI to list/search/filter sessions, play recordings, and view heatmaps; and 6) privacy/anonymization options (element whitelist/blacklist, IP masking). Out of scope: LLM/AI assistant, advanced friction detection ML, multi-tenant enterprise billing, SSO, and high-scale redundancy. Include error handling, input validation, and automated tests for ingestion, replay reconstruction, and heatmap aggregation.
How we checked5 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

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.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page