Show HN: Rapel – chunked resumable downloads in unstable networks
Rapel is a modern chunked HTTP downloader designed for unstable networks, featuring resume support and improved state management. It allows users to download files in customizable chunk sizes and supports concurrent downloads. The tool is cross-platform and includes features like graceful shutdown, real-time progress display, and smart merging of downloaded chunks.
- ▪Rapel supports downloading files in chunks, with a default size of 100MB and the ability to customize chunk sizes.
- ▪Users can run custom commands after each chunk completes, making it suitable for tasks like cloud uploads.
- ▪The downloader is compatible with multiple operating systems, including Linux, macOS, Windows, and FreeBSD.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/redraw/rapel |
| Publication time | Tue, 26 May 2026 03:24:01 +0000 |
| Retrieval time | 2026-05-26T03:37:43.011Z |
| Last seen | 2026-05-26T03:37:43.011Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | TIour6SHIfX7 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
rapel Chunked HTTP downloader with resume support. A modern, cross-platform implementation with improved state management and progress tracking. Installation go build -o bin/rapel Or install directly: go install github.com/redraw/rapel@latest Usage Download a file with default settings (100MB chunks, 1 concurrent job): rapel download https://example.com/file.bin Download with custom chunk size and multiple concurrent downloads: rapel download https://example.com/file.bin -c 50M --jobs 4 Download through a proxy: rapel download https://example.com/file.bin -x socks5h://127.0.0.1:9050 Download and auto-merge: rapel download https://example.com/file.bin --merge Run command after each chunk completes: rapel download https://example.com/file.bin --post-part 'rclone move {part} remote:bucket/'…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.