Publish facts AI agents can trust, instead of what they scraped
No crawler is guessing at your homepage, the source is you.Scraped AuthoredQueried on demand, not baked inNothing sits in a training set going stale. An agent asks, and gets whatever is true right now, not whatever was true at some model's cutoff.Frozen Real-timeNo site to build for machinesYou don't stand up a machine-readable site, maintain an endpoint, or keep a file in sync. One profile, and agents can already see you.Build it yourself Zero infrastructureFacts, not proseYour record is a structured list of facts, not a paragraph in English.
- ▪No crawler is guessing at your homepage, the source is you.Scraped AuthoredQueried on demand, not baked inNothing sits in a training set going stale.
- ▪An agent asks, and gets whatever is true right now, not whatever was true at some model's cutoff.Frozen Real-timeNo site to build for machinesYou don't stand up a machine-readable site, maintain an endpoint, or keep a file in sync.
- ▪One profile, and agents can already see you.Build it yourself Zero infrastructureFacts, not proseYour record is a structured list of facts, not a paragraph in English.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,661 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 | Profiles |
| Canonical URL | https://profiles.skin/ |
| Publication time | Mon, 28 Sep 2026 06:34:55 +0000 |
| Retrieval time | 2026-09-28T06:51:07.135Z |
| Last seen | 2026-09-28T06:51:07.135Z |
| 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 | 4-pAAj_6rJJY · 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
{ "section": "introduction" }The record an AI agent can trust, because you published it.Skin is a verified, owner-controlled profile layer for the AI agent era so language models answer questions about you or your company with facts you published, not whatever they scraped.Join waitlist Skin Classic EXPLORER Project governance/div> Json schema overview Profile creationprofiles.skinStandard Auto Review Markup LLMs stopped just answering questions and now act as agents that book, buy, and recommend on your behalf.{ "section": "the problem" }Right now, models describe you from memory and guesswork.Outdated training data, stale scrapes, and confident hallucination.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Profiles.
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