Health, home and travel decision
BioAge
A competent developer can build a useful personal health dashboard that replicates core functionality, but the full product value (lab integrations, clinical validation, polish, and trust) is expensive and slower to reproduce.
Visit website↗Built by Marc Lou, who ships 32 products in this index
Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off120 h to build
$60/mo6 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
- Ingest food, sleep, exercise and lab-result data; normalize and store it; compute simple time-series correlations/feature impacts; surface personalized recommendations and visualizations in a web dashboard.
What it still won’t have
- Polish, UX design and onboarding refinements from a product team
- Validated clinical claims or medical-grade accuracy and liability coverage
- Prebuilt integrations with labs, wearable vendors, and third-party APIs
- A user community and aggregated dataset for population-level signals
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
BioAge 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 health-insights web app using: backend Node.js (Express) + Postgres, frontend React + Recharts, and deploy on a single VPS (Docker). Core features in scope: user signup/login, upload/parsing endpoints for CSV/JSON food logs, sleep, exercise and blood test results; normalized Postgres schema for time-series and lab values; analytics module that computes rolling averages, correlations, and simple linear-feature-importances; a dashboard that plots time-series, shows top correlations, and renders weekly summary PDFs; CSV export and basic email notifications. Out of scope: clinical validation, integrations with commercial lab APIs and wearables, paid analytics pipelines. Include error handling for malformed uploads, unit tests for ingestion and analytics functions, and end-to-end tests for the upload-to-dashboard flow.
How we checked
How the score was reached
- Partly verdict base52
- 3/3 assessment runs agreed+4
- Evidence score56
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.
