Architecture

Built so your face stays on your device.

Face detection runs in your browser. Public search engines receive a derived face crop, never your original photo. DMCA notices file under your own name through templates that meet 17 USC §512(c)(3) statutory requirements. Each part of the architecture is designed so your biometric data lives on your side, not ours.

Breakthrough 1

ML runs in your browser

ArcFace face detection runs client-side via ONNX Runtime Web. Your original photo stays local. Only a derived face crop is sent to public reverse-image engines so they can search for matches.

Breakthrough 2

Users are the crawlers

The browser extension turns every user into a sensor. Coverage scales with the network. Every install adds the pages they already visit, building a distributed index no centralized scanner can match.

Breakthrough 3

DMCA filed under your own name

Notices are sent from the affected person’s email through templates that meet 17 USC §512(c)(3) statutory requirements. Legally stronger than third-party-filed claims, and the platform replies to you directly.

The Stack

Layer

Provider

Notes

Frontend

Cloudflare Pages / Vercel

Edge-cached worldwide

Database + Auth

Supabase

EU + US regions, encrypted at rest

Vector Search

Supabase pgvector

Embedding similarity, no images

File Storage

Cloudflare R2

Evidence packs only — never your face

Face Embedding

Client-side ONNX

Runs in your browser — your original photo stays local

Face Search

Multiple public reverse-image sources

A derived face crop is sent, never your original photo

Email Alerts

Resend

TLS in transit, EU + US regions

DMCA Notices

Counsel-reviewed templates

Filed under your name, not ours

Durable Workflows

Inngest

Idempotent retries, full audit trail

Crawling

Distributed worker mesh

No image upload required

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