Project and task management decision

Rize

A basic automatic tracker with a desktop agent, simple categorization, and a team dashboard is feasible to build and self-host, but reproducing Rize's cross-platform polish, proprietary AI tuning, integrations catalogue, and enterprise features would require significantly more time and resources.

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Subscription$12.99/month ✓ verified
Initial build80 hours
Monthly upkeep12 hours + $50
Evidence3/3 runs agree

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Capture focused-window events on desktops, map them to projects/clients (AI or heuristics), send events to a backend that aggregates per-user and per-team, provide a web dashboard for utilization/profitability and exports.

What it still won’t have

  • Polished cross-platform native app and installers
  • Proprietary AI model tuning and AI-credit system
  • Enterprise features (SOC2, SSO/SCIM, dedicated SLAs)
  • Mature integrations catalogue and connector polish
  • Polished client-ready PDF reports and priority support

What remains hard

  • Brand trustTrusted by teams worldwide
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 5 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 minimal automatic time-tracking stack: create a native desktop agent for macOS (or Windows) that emits focused-window events (app name, window title, URL) every 15s; implement a simple classifier service (Python) that maps metadata to project/client using configurable rules and a small ML fallback; build a backend (Node/Express + Postgres) to ingest events, deduplicate, store per-user times, and compute per-project, per-user, and utilization aggregates; create a React web dashboard that shows live team utilization, hours by project/client, project profitability (revenue/hour inputs), and CSV/PDF exports; include OAuth sign-in, an admin panel to create projects/clients and mapping rules, and webhooks for integrations. Out of scope: advanced AI training, SOC2, SSO/SCIM, mobile clients. Provide error handling, retries for agent-to-backend uploads, automated tests for backend APIs, and basic end-to-end tests for the dashboard.
How we checked3 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score62

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 →

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