CLUSTER DEVICES-FILES-LOCAL · 43 ENTRIES · EARLIEST ENTRY 2019-06-14
Local network file sharing apps
This cluster comprises apps that enable file, clipboard, and text sharing between devices on the same local network, using QR pairing or browser-based access. The dated entries appear sporadically from June 2014 through May 2026, with most months seeing a single new product and several year-long gaps, indicating a steady but low-level stream of releases. In terms of traction, ZTdrop leads with 4 stars, followed by RapiDrop with 2 and Nearclip with 1.
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 ai-built · 1 hand-coded · 1 unlabelled
Operator · 1 hobby · 1 open source · 1 unlabelled
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.
- 41Sharik - file sharing via WI-FI0★5 yrabandonedlivehand-codedopen sourceApp for sharing files, photos, and text between devices on the same local network via a web browser.
- 42homeserver0★unknownlivehobbyDesktop tool that shares and browses photo and file libraries across devices connected to a local home network without cloud uploads.
- 43Bluetooth Image Receiver0★unknownliveai-builtWeb app that receives and displays images sent from nearby devices over a Bluetooth connection.
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.