Show HN: A client side PDF and article reader backed by Google Drive
I have been using different apps to read research papers, books, and web articles. On iPad, I read research papers and books on Apple Books, and articles in Safari; on Mac, I use skim for research papers and books, as it gives excellent annotation features. But I wanted one reading library that worked across iPad and Mac without locking my pdfs and annotations into a single service/app. So I have built a browser-based reader where your library lives in a folder you choose in google drive. The ap
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
inspect →
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 | Vercel |
| Canonical URL | https://pdf-reader-peach.vercel.app/ |
| Publication time | Sun, 26 Jul 2026 15:53:33 +0000 |
| Retrieval time | 2026-07-26T16:05:52.700Z |
| Last seen | 2026-07-26T16:05:52.700Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher description |
| Excerpt method | Publisher-supplied description / RSS summary field. |
| Summary | None yet |
| Summary source text | description |
| Citation coverage | No WeSearch summary has been generated for this story yet. |
| Cluster | R4KkYMeY9W2S |
| 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.