Project and task management decision

RescueTime

A technical user can reproduce the core automatic-tracking + reporting and Focus sessions, but they won't match RescueTime's years of collected data, cross-platform polish, and breadth of integrations without substantial additional time and resources.

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Subscription$9/month ✓ verified
Initial build80 hours
Monthly upkeep8 hours + $0
Evidence3/3 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

  • Run a lightweight background agent that records active window titles and URLs, send events to a server that aggregates and categorizes activity, show per-user reports and dashboards, and allow users to set goals/receive alerts and start Focus sessions which block specified domains/apps.

What it still won’t have

  • Years of historical activity data and derived baselines
  • Polished cross-platform agent stability and browser extension coverage
  • Broad third-party integrations and enterprise billing/invoice options
  • Brand recognition and large existing user community

What remains hard

  • Proprietary data3 billion hours logged
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 RescueTime-like service: use an Electron (or native) background agent to capture active window titles and URLs and send batched events to a Node.js + Express API; store events and users in Postgres; implement categorization rules in the backend, a React web UI for timeline/reports/goals, and a small admin job that produces weekly summary emails. In scope: agent event capture (Windows/macOS), backend ingestion and categorization, user auth, dashboard with timeline and productivity report, Focus session push to agent (simple blocking by domain/process), and weekly summary emails. Out of scope: mobile SDKs, enterprise SSO, payments, and advanced integrations. Include robust error handling, tests for ingestion and categorization, and deployment scripts for a single small VPS (Docker).
How we checked5 sources · 3/3 runs agreed · evidence score 64

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
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • 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 · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat quoted from the page