12a0d7abe902f422843e853f13bca1d3dc0e284f
Mirror the design-doc update in the actual download progress component so the GUI matches the trimmed chip. Previously the large progress panel rendered `[icon] from N peer(s)` inline; now it renders just `[icon] N`, with the full "Downloading from N peers on the LAN" sentence retained as the `title` tooltip for discoverability. Changes: - `DownloadProgress.tsx` (lg variant): drop the "from" / unit text from the inline span, keeping only the count. `peerUnit` stays in scope because the tooltip still needs singular/plural. - `launcher.css`: collapse `.dl-peers` and `.dl-peers strong` into a single rule that puts the t-1 colour, 600 weight and tabular-nums directly on the chip (the inner `<strong>` no longer exists). Gap drops from 5px to 4px to match the tighter icon+number layout. - Container queries: peers drops at <=240px and ETA drops at <=320px, matching the new thresholds in the design reference. The narrower chip simply fits in smaller modals, so the old 300/380 cutoffs were hiding stats that would have rendered fine. Test Plan - `just frontend-test` (passes) - `just run`, start a download, confirm the chip reads `[icon] N`, hover shows the tooltip, and narrowing the window collapses ETA before peers at the new breakpoints.
lanspread
Description
Peer-to-peer game library sharing for LAN parties.
- Peers let users browse and download games from each other
- they discover each other on the local network via mDNS
- they exchange library metadata over QUIC
Ships as a Tauri desktop app.
Development
Prerequisites
# install Tauri CLI
cargo install tauri-cli
# install Deno with a package manager or from https://deno.land/
Build or Run
# build
just build
# run
just run
# test
just test
Scripted peer harness
crates/lanspread-peer-cli runs the peer runtime without the GUI and speaks
JSONL on stdin/stdout. It is intended for automated multi-peer smoke tests.
just peer-cli-build
just peer-cli-image
just peer-cli-run alpha
Description
Languages
Rust
63.8%
TypeScript
12.6%
CSS
8.9%
Python
7.5%
JavaScript
5.9%
Other
1.2%