Project and task management decision
Time Doctor
A small team can build a useful time-tracking and basic analytics replacement for internal use, but replicating Time Doctor’s proprietary benchmark dataset, enterprise certifications, integrations, and 24/7 support would be difficult and likely justify paying for the hosted product for full enterprise needs.
Visit website↗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
- Collect timed activity (start/stop per task or automatic focus detection), capture active app/website usage events, store and aggregate events, surface per-user/team dashboards and simple alerts (e.g., long hours or low focus time).
What it still won’t have
- Benchmarks AI (250K+ user benchmark dataset)
- Enterprise compliance certifications and private-cloud deployment options
- 60+ built integrations and native payroll/HRIS connectors
- 24/7 multilingual support and dedicated success management
- Video screen recording, advanced anomaly detection, and historical retention tiers
What remains hard
- Proprietary data
Compare productivity across your users, teams, and company using AI-matched benchmarks from 250K+ users, helping you set smarter goals and spot issues early.
- Brand trust
Trusted by over 10,000 global brands
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 14 seats.
Money you would actually spend
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
Build a minimal self-hosted workforce time-tracking service using Node.js (Express) backend, Postgres for storage, Redis for short-term jobs, and React for the dashboard; include a browser extension (Chrome) to record active tab/window and send activity events. In scope: user signup/auth (JWT), client-to-API event ingestion, event validation, hourly aggregation job, per-user and team dashboards (focus time, app/website usage, CSV export), an email/Slack alerting webhook for long sessions, basic role-based access, and Docker Compose for local deployment. Out of scope: multi-region scaling, SOC2/HIPAA certification, private-cloud appliance, enterprise SSO, payroll integrations, and video screen recording. Deliver: automated tests for API and aggregation logic, error handling and retries for client uploads, basic metrics (request/error rates), and deployment docs (Docker Compose + one-click deploy notes for a single VPS).
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score61
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.
- official productTime Doctor | Workforce analytics for distributed teams
- official docsTime Doctor features | Productivity and workforce analytics
- official pricingTime Doctor pricing plans | Enhance workforce productivity
- open sourceActivityWatch/activitywatch
- open sourcekimai/kimai
Integrity checks
What held up, and what did not.
