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Open-coreAIEvents

Tagingly

Tagingly — project preview
Year
2025
Role
Full-stack · open-core
Stack
Next.js · Express · Weaviate · TypeScript · Turborepo

Context

Event albums (weddings, conferences, school days) bury guests in everyone else’s faces. Organisers need upload → match → review; guests only want the shots they appear in.

Challenge

Photographers and organisers drown in untagged crowd shots; guests only want their own faces — spreadsheets and manual hunting do not scale.

Solution

Upload once → AI proposes matches → admin review → each guest gets a private gallery of images they appear in (selfies scoped to the event). Marketing + product story at https://tagingly.netlify.app · repo https://github.com/lazehang/tagingly

Outcome

Guests leave with a gallery they actually want; organisers keep human judgment on every tag before anything goes live. Demo match scores on the marketing page are illustrative — not live accuracy claims.

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