Analytics and monitoring decision

Stellar

A competent developer can build a useful, self‑hosted minimal A/B testing workflow (editor, snippet, bucketing, analytics) in a few weeks, but matching Stellar’s full product (heatmaps, AI insights/MCP, enterprise onboarding, scale and SLAs) is larger and would justify continuing to pay.

Visit website
You pay

$29/mo

$348/yr

Read off the official pricing page.

You’d pay instead

$100one-off110 h to build

$250/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 9 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 Stellar alternatives, with the arithmetic →

What a replacement has to do

  • Install a small JS snippet on your site, open the visual editor to create variants, assign traffic and goals, collect visitor events, and view experiment results and recommendations in the dashboard.

What it still won’t have

  • Priority onboarding, dedicated migration help, and enterprise SLAs
  • Built-in AI insights & MCP chat integrations
  • Polished heatmaps & funnels as implemented by the vendor
  • Scale-ready hosted infra, CDN distribution & DDoS protection
  • Cookieless data-handling/legal assurances and a Data Processing Agreement provided by 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 9 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 lightweight A/B testing service using React for the visual editor, a small client JS snippet served from a CDN, Node.js + Express for APIs, Redis for bucketing, and Postgres (or ClickHouse) for event storage. Core features in scope: CDN-served async snippet (<=10KB), WYSIWYG editor to create/save variants, deterministic bucketing and traffic allocation APIs, browser event collector and ingestion pipeline, a Bayesian stats engine that reports lift and confidence, GA4 export webhook, simple dashboard to list experiments and winners. Out of scope: heatmaps & funnel visualizations, enterprise SSO/SSO provisioning, dedicated onboarding, and AI-powered recommendations/MCP chat. Include error handling, input validation, tests for bucketing correctness and stats, containerized deployment manifests (Docker + simple Kubernetes or ECS), and documentation for installing the snippet on common CMS (Shopify, WordPress, Webflow).
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