Analytics and monitoring decision

Baremetrics

A capable engineer can build a useful subset (ingestion, MRR/cohort computation, segmentation and dashboards) in a week and maintain it cheaply, but Baremetrics' paid value comes from add-ons (dunning, enrichment), broad integrations, and polish that are expensive to fully replicate.

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Subscription$49/month ✓ verified
Initial build30 hours
Monthly upkeep8 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.

What a replacement has to do

  • Ingest billing events, normalize into a time-series/ledger, compute subscription metrics (MRR, ARR, churn, cohorts), and visualize/filter those metrics by segments

What it still won’t have

  • Payment Recovery (dunning + automated recovery flows)
  • Cancellation Insights product with in-app popups and automated post-cancel emails
  • Built-in Clearbit data enrichment
  • Benchmarks / aggregated industry comparisons
  • Wide, maintained set of one-click integrations and dedicated support

What remains hard

  • Brand trust+900 companies using Baremetrics for growth
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 subscription-analytics service using Node.js (Express) + Postgres + a React dashboard. In scope: webhook ingestion for Stripe, a normalized ledger schema, nightly ETL jobs computing MRR/ARR/churn and cohort tables, a SQL-driven segmentation engine, REST API endpoints for dashboard data, and a React UI with historical charts and side-by-side segment comparisons. Out of scope: automated payment recovery/dunning flows, paid data enrichment (Clearbit), industry benchmark aggregation, and multi-provider one-click installers. Include auth, per-account config, retries/error handling for webhooks and ETL jobs, tests for ingestion and metric computations, and basic deployment scripts (Docker + single-node managed Postgres).
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