CLUSTER MACHINES-WEB-AVAILABILITY · 3 ENTRIES · EARLIEST ENTRY 2025-01-23
Laundry machine availability trackers
This cluster consists of web tools that display real-time availability of shared laundry machines in residential or dorm buildings, often with auto-refresh and wait-time estimates. The cluster's dated history is too thin to read a shape from—only one dated entry exists before the index start, and the index began collecting on 2026-08-11, so the cluster predates the index or its members are undated. On traction, ujing-laundry leads with 4 stars, while machinefjb and Happy Laundry each have 0 stars.
Entry timeline
ENTRY TIMELINE
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 · 2 unlabelled
Operator · 3 hobby
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01ujing-laundry6★1 mo—hobbyWeb page that displays real-time availability of dorm laundry machines, refreshing automatically every minute and showing wait times when machines are full.
- 02machinefjb0★1 yrabandonedlivehand-codedhobbyWeb application for students to check whether washing machines are currently available in their residence.
- 03Happy Laundry0★unknownlivehobbyWeb tool that reports live availability status of shared laundry machines so building residents know when they are free.
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.