Hey HN — I built this over the past few months and wanted to share.
The core idea: most face analysis tools upload your photos to a server.
This one runs entirely client-side using face landmark detection — your
photos never leave your device.
It measures 17 structural facial metrics: canthal tilt (in degrees),
facial width-to-height ratio, jawline angle, facial thirds balance,
hunter eye index, golden ratio score, and more. All derived from 68
facial landmarks detected locally in the browser.
A few honest caveats HN will probably want to know:
- The attractiveness correlations are from peer-reviewed research but
the effect sizes are modest — this measures geometry, not beauty
- Landmark detection accuracy drops on non-frontal photos or unusual
lighting
- The "ideal ranges" are population averages from Western-centric studies
The looksmaxxing community (people trying to systematically improve
their facial aesthetics) turned out to be the core audience — I didn't
expect that going in.
Tech: Next.js, face-api.js for landmark detection, runs on Vercel.
The premium report generates a PDF client-side.
Happy to answer questions about the technical approach or the landmark
detection pipeline.