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CLUSTER HISTORY-RESETS-USAGE · 4 ENTRIES · EARLIEST ENTRY 2026-09-21

Local per-app usage trackers

This cluster consists of Windows apps that track per-app usage (network or time) and store history locally to survive OS resets. The cluster's dated history is too thin to read a shape from -- it predates the index or its members are undated. Among the members, screen-time-native leads on traction, though all have zero 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 · 1 hand-coded · 3 unlabelled

Operator · 4 hobby

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. 01place-stay0★18 days—hobbyWindows app that remembers which monitor each application window belongs on and restores saved layouts when apps open.
  2. 02screen-time-native0★19 days—hand-codedhobbyWindows app that records which apps are used and for how long, storing the history locally so it survives resets.
  3. 03data-usage-native0★19 days—hobbyWindows app that tracks per-app network usage and preserves history across system resets by storing it in a local database.
  4. 04data-usage-tracker0★27 days—hobbyLocal dashboard that records per-app network usage on Windows and Android and displays permanent usage history across OS resets.

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.