Analytics and monitoring decision

MetricMap.tech - Analytics platform for SaaS and Ecommerce founders

A competent developer can build a useful self-hosted analytics workflow (tracking + dashboards) in a few weeks, but reproducing a polished, hosted commercial product with scaling, connectors, and support is larger and operationally heavier—consider running existing open-source projects instead.

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Built by Max Hamal 🇺🇦, who ships 8 products in this index

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-off54 h to build

$0/mo6 h/mo upkeep

No published price to break even against.

What a replacement has to do

  • Collect client-side events via a small JS snippet, ingest and store events in a fast analytics store, compute attribution/metrics, and render dashboards for funnels, revenue, and cohort views.

What it still won’t have

  • Hosted, fully-managed infrastructure and automatic scaling
  • Any hidden proprietary integrations or commercial connectors
  • Vendor support, SLAs, and onboarding
  • Polished UX, product analytics features gained from usage data

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

MetricMap.tech - Analytics platform for SaaS and Ecommerce founders 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
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Subscription price × seats × 12

Build it
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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 analytics product for SaaS/Ecommerce using Next.js (React) frontend, Node.js ingestion service, and ClickHouse for event storage. Core features in scope: (1) a small embeddable JS tracking snippet that batches events and sends to the ingestion API, (2) a validated ingestion API with basic deduplication and project scoping, (3) ClickHouse schema and migrations for high-volume event inserts and queries, (4) scheduled jobs to compute daily attribution, revenue aggregates, and simple cohorts, (5) a Next.js dashboard showing event stream, funnels, revenue by cohort/date with CSV export, and (6) simple user auth and project/admin UI. Out of scope: session replay, advanced attribution models, paid connectors, multi-tenant billing, and enterprise SLAs. Require server-side and client-side error handling, logging, health checks, and unit/integration tests for ingestion endpoints and key query helpers.
How we checked3 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+3
  • 3/3 assessment runs agreed+4
  • Evidence score64

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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded