Analytics and monitoring decision

Sleek Analytics

A competent developer can build a usable, privacy-first realtime analytics replacement using open-source projects (Umami/Plausible) for core ingestion and UI, but reproducing Sleek's full polished product (AI chat, managed revenue connectors, scaling and commercial polish) is non-trivial and argues for keeping the paid service for those features.

Visit website
You pay

$5/mo

$60/yr

Read off the official pricing page.

You’d pay instead

$100one-off160 h to build

$40/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 10 seats.

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 Sleek Analytics alternatives, with the arithmetic →

What a replacement has to do

  • Collect pageviews/events via a tiny script, ingest and deduplicate events at a collector API, store events and materialized aggregates in a database, serve a realtime dashboard (active visitors, top pages, sources) and simple retention, and optionally expose a public read-only dashboard.

What it still won’t have

  • Polish and UX of Sleek's commercial dashboard (AI chat, live globe, customer-facing polish)
  • Built-in AI Chat natural-language query feature
  • Managed revenue-attribution connectors and onboarding
  • Guaranteed event retention SLAs, scaling to millions of events without ops
  • Support, hosted reliability, and security / DPA paperwork from vendor

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 10 seats.

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 self-hosted privacy-first web analytics clone with a Node.js collector, ClickHouse or Postgres for storage, a ~1KB async tracking script, a React SPA dashboard, and a realtime visitors panel. In scope: tracking script (data-site key), /collect HTTP endpoint that validates and deduplicates events, event schema and storage, materialized aggregates for top pages/sources, WebSocket/SSE for live visitors, a React dashboard showing realtime visitors, top pages, sources, and event counts, and a Stripe webhook handler for optional revenue events and basic attribution. Out of scope: natural-language AI chat, advanced data-retention policies, enterprise SLA, and multi-region infra. Include error handling, request validation, tests for collector and core queries, Docker-based deployment, and a basic CI workflow.
How we checked4 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 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 · 4

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 recorded