Show HN: Pacific Slate: a self-hosted, model-agnostic multi-agent AI assistant
Pacific Slate I was in the first year of an MBA, trying to manage a firehose of information while applying to internships and keeping up with my wife and two kids, and I kept re-explaining my whole situation to whatever AI program I was using that week. I wanted one that updated itself, filtered the slop, and kept the data mine. It runs on a rented server, a dedicated machine that hosts the services and holds encrypted backups of the files I care about.
- ▪Pacific Slate I was in the first year of an MBA, trying to manage a firehose of information while applying to internships and keeping up with my wife and two kids, and I kept re-explaining my whole situation to whatever AI program I was usi
- ▪I wanted one that updated itself, filtered the slop, and kept the data mine.
- ▪It runs on a rented server, a dedicated machine that hosts the services and holds encrypted backups of the files I care about.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,210 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 | Pacslate |
| Canonical URL | https://pacslate.com/ |
| Publication time | Sun, 09 Aug 2026 21:04:02 +0000 |
| Retrieval time | 2026-08-09T21:10:42.186Z |
| Last seen | 2026-08-09T21:10:42.186Z |
| 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 | Pt-WQ3Yh8QUV · 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
Pacific Slate I was in the first year of an MBA, trying to manage a firehose of information while applying to internships and keeping up with my wife and two kids, and I kept re-explaining my whole situation to whatever AI program I was using that week. I wanted one that updated itself, filtered the slop, and kept the data mine. It runs on a rented server, a dedicated machine that hosts the services and holds encrypted backups of the files I care about. I designed it, selected the parts, and run it day to day (technical details in the collapsed sections at the bottom). What it does Updates itself from my sources, sorts through the noise, and maintains the data in my privately owned database. Uses a multi-agent tree to route work to the model best suited for it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Pacslate.
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