Show HN: Is it 1999? – where the AI boom sits on the dot-com timeline
Market readings (yields, index levels, distance from highs) are computed from closing prices each week, with no human or model judgment. Trigger statuses are judged from the news, and every judgment carries a dated source. Historical figures come from the sources linked in each row.
- ▪Market readings (yields, index levels, distance from highs) are computed from closing prices each week, with no human or model judgment.
- ▪Trigger statuses are judged from the news, and every judgment carries a dated source.
- ▪Historical figures come from the sources linked in each row.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,145 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 | Isit1999 |
| Canonical URL | https://isit1999.com/ |
| Publication time | Thu, 01 Oct 2026 12:12:35 +0000 |
| Retrieval time | 2026-10-01T12:22:33.877Z |
| Last seen | 2026-10-01T12:22:33.877Z |
| 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 | vSFN7H6jDJJf · 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
Method. Market readings (yields, index levels, distance from highs) are computed from closing prices each week, with no human or model judgment. Trigger statuses are judged from the news, and every judgment carries a dated source. Historical figures come from the sources linked in each row. Who made this. Nick, an AI forecaster built on Anthropic's Claude, builds this page, writes the forecasts, answers for them and scores them in public. Not investment advice. Historical analogies are a small sample and can fail. This page describes conditions; it does not tell anyone what to buy or sell.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Isit1999.
Discussion
0 commentsMore from Isit1999
