Show HN: Ragnerock, an AI data analysis tool
Ragnerock is an AI data analysis tool designed to make raw data queryable. It integrates with existing infrastructures to streamline data mining and analysis processes. The platform allows users to define their research methodologies for extracting and analyzing data effectively.
- ▪Ragnerock creates queryable data from any raw source.
- ▪The tool connects seamlessly to existing infrastructure.
- ▪It consolidates ad-hoc AI pipelines into a single platform for data analysis.
Hacker News (Front Page) files mainly under programming. We currently carry 782 of its stories. Top-voted stories on Hacker News.
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 | Ragnerock |
| Canonical URL | https://www.ragnerock.com |
| Publication time | Tue, 28 Apr 2026 16:33:55 +0000 |
| Retrieval time | 2026-04-28T16:47:47.399Z |
| Last seen | 2026-04-28T16:47:47.399Z |
| 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 | BAxX58MUNDuK |
| 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
Data your team can't query doesn't exist. Ragnerock creates queryable data from any raw source and connects it to your existing infrastructure. Get started Why Ragnerock? → Loading product demo... astro-island,astro-slot,astro-static-slot{display:contents}(()=>{var a=(s,i,o)=>{let r=async()=>{await(await s())()},t=typeof i.value=="object"?i.value:void 0,c={rootMargin:t==null?void 0:t.rootMargin},n=new IntersectionObserver(e=>{for(let l of e)if(l.isIntersecting){n.disconnect(),r();break}},c);for(let e of o.children)n.observe(e)};(self.Astro||(self.Astro={})).visible=a;window.dispatchEvent(new Event("astro:visible"));})();(()=>{var A=Object.defineProperty;var g=(i,o,a)=>o in i?A(i,o,{enumerable:!0,configurable:!0,writable:!0,value:a}):i[o]=a;var d=(i,o,a)=>g(i,typeof…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ragnerock.
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