Analytics and monitoring decision
Task Analytics for Todoist
A single competent developer can build a useful Todoist analytics replacement in ~34 hours and maintain it; the product contains no documented durable moats in the supplied pages so self-hosting a small replacement is realistic.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off34 h to build
$0/mo3 h/mo upkeep
No published price to break even against.
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
- Sync a user's Todoist tasks via Todoist API/OAuth, store tasks and events, run aggregation/analytics jobs, render charts and reports in a web UI, and refresh/schedule new data pulls.
What it still won’t have
- Polished, product-grade UI/UX and onboarding flows
- Hosted, scalable infrastructure and backups
- Official support, SLAs, and multi-user/team management
- Any proprietary analyses, polished cross-account dashboards, or integrated billing
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Task Analytics for Todoist does not publish a price we could read, so there is nothing to compare against. What building costs is below.
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 self-hosted Task Analytics web app using Node.js (Express) backend, Postgres for storage, a background worker (Bull or Redis) for scheduled syncs, React frontend with Chart.js, and Docker for deployment. Core features in scope: Todoist OAuth integration, incremental task sync, normalized Postgres schema for tasks/events, nightly aggregation jobs computing completion rates, throughput, and per-project time-to-complete, a React dashboard showing time series and CSV export, and basic user account/session handling. Out of scope: multi-tenant billing, advanced permissions, mobile apps, or training proprietary ML models. Include error handling for API rate limits and failed syncs, automated tests for sync and aggregation logic, and a Docker Compose production-ready config.
How we checked
How the score was reached
- Build verdict base78
- Evidence score78
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 · 1
Every page the run actually retrieved.
- official productTask Analytics - Productivity Insights for Todoist Users
Integrity checks
What held up, and what did not.
