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CLUSTER PHOTO-LOCAL-DETECTS · 4 ENTRIES · EARLIEST ENTRY 2026-09-20

Local photo organizers

This cluster consists of local photo organizers that help users manage and clean up personal collections, with individual products focusing on duplicate/version detection, image-quality scoring and search, or face grouping. The cluster's dated history before the index start is too thin to read a shape from: there are no dated entries, so members predate the index or are undated. On traction, LightSpace leads with 2 stars, followed by photo-cleanup with 1 star and photo-coach with 0 stars.

Entry timeline

ENTRY TIMELINE

SEP 2026: 2OCT 2026: 2
SEP 2026OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 4 unlabelled

Operator · 3 hobby · 1 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01photo-cleanup1★28 days—hobbyLocal photo organizer that detects exact duplicates, versions of the same shot, and burst groups, and ranks them for cleanup.
  2. 02photo-coach0★11 days—hobbyLocal photo organization tool that finds near-duplicates, scores sharpness and exposure, gives shooting trend advice, and searches photos by fuzzy text.
  3. 03memoria-photos0★1 mo—Local photo library that automatically recognises people, places, events, and duplicates, and lets users search photos in plain language.
  4. 04face-folder0★19 days—hobbyLocal photo organizer that detects faces in photo collections and groups images of the same person into folders while always preserving original files.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.