Face Hunt
Smart, Consent‑First Discoverability
TL;DR
Face Hunt is a privacy‑first people search for your media. Opt‑in discoverability helps users instantly surface photos of specific people across events, memory boards, and murals.
1) What is Face Hunt?
A selective, consent‑driven face search that lets users filter content by participants. Great for events, shared boards, and public creators who choose discoverability.
Why it matters: Finding yourself (or friends) across thousands of photos is painful. Face Hunt makes it instant—without compromising consent.
2) Value Proposition
Consent by design: Opt‑in controls at user and board levels.
Fast recall: Filter feeds by people; “photos of me.”
Event superpower: Attendees instantly find all photos they appear in.
Creator mode: Public figures can enable large‑scale discoverability.
3) Core Features (v1 & v1.1)
Opt‑in enrolment & visibility controls.
People filters in feeds and boards.
Per‑mural/board toggles and safe defaults.
Local processing preference where feasible; minimal cloud data.
Polish (v1.1)
Better disambiguation and liveness checks.
Shareable “photos of me” views (within access limits).
4) Use Cases
Events: Find yourself and friends post‑concert or wedding.
Memory Boards: Sort trip photos by who’s in them.
Public Murals: Opt‑in creator discoverability.
5) Roadmap (Illustrative)
Q1: Opt‑in flow; per‑space toggles; people filters.
Q2: Liveness & impersonation defenses; improved matching.
Q3: Creator verification; controlled public discoverability.
6) Metrics
Opt‑in rate; searches per user; success taps after filter.
False positive/negative rate (internal); report/appeal rate.
7) Risks & Mitigations
Privacy sensitivity: Explicit consent, clear UI, per‑space control, easy opt‑out.
Misidentification: Conservative thresholds; user confirmations; reporting.
Abuse: Rate limits, verification for public discoverability.
8) Integrations
Events: On‑site discovery and recap.
Memory Boards: Fast person filters.
Murals: Personalised feed slices (“find me in this mural”).
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