ParadeDB Search Performance Improvements
PlanetScale Released Text Search and We Have a Lot to Say (Part I) By Ming Ying on October 1, 2026 Two weeks ago, PlanetScale unveiled TIN, a full-text search extension for Postgres. Their launch post reported impressive performance wins over a subset of ParadeDB’s text search functionality, specifically BM25-ranked text search and document counts. We’d like to extend kudos to the PlanetScale team 1.
- ▪PlanetScale Released Text Search and We Have a Lot to Say (Part I) By Ming Ying on October 1, 2026 Two weeks ago, PlanetScale unveiled TIN, a full-text search extension for Postgres.
- ▪Their launch post reported impressive performance wins over a subset of ParadeDB’s text search functionality, specifically BM25-ranked text search and document counts.
- ▪We’d like to extend kudos to the PlanetScale team 1.
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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 | Hacker News (Front Page) |
| Canonical URL | https://www.paradedb.com/blog/opening-a-closed-tin |
| Publication time | Thu, 01 Oct 2026 17:05:01 +0000 |
| Retrieval time | 2026-10-01T17:22:32.064Z |
| Last seen | 2026-10-01T17:22:32.064Z |
| 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 | 0qapGXU_SeZ_ · 1 stories |
| 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
PlanetScale Released Text Search and We Have a Lot to Say (Part I) By Ming Ying on October 1, 2026 Two weeks ago, PlanetScale unveiled TIN, a full-text search extension for Postgres. Their launch post reported impressive performance wins over a subset of ParadeDB’s text search functionality, specifically BM25-ranked text search and document counts. We’d like to extend kudos to the PlanetScale team 1. It’s great to see another Postgres platform investing in search (turns out people want to search their relational data), and it’s clear that a lot of thoughtful engineering went into TIN. We’re also happy to see PlanetScale’s adoption of ParadeDB’s benchmarker tool, which we built for exactly this kind of testing.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (Front Page).
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