Answerwatch – Track changes in what AI models recommend
Answerwatch Track what AI models recommend—and see when the answer changes. Your brand, product, or category can look different depending on which model someone asks. Answerwatch makes that visible: run the same prompt across models, compare their recommendations, and keep a local audit trail as answers drift.
- ▪Answerwatch Track what AI models recommend—and see when the answer changes.
- ▪Your brand, product, or category can look different depending on which model someone asks.
- ▪Answerwatch makes that visible: run the same prompt across models, compare their recommendations, and keep a local audit trail as answers drift.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,555 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | GitHub |
| Canonical URL | https://github.com/haror1/answerwatch |
| Publication time | Tue, 28 Jul 2026 06:23:51 +0000 |
| Retrieval time | 2026-07-28T06:28:38.196Z |
| Last seen | 2026-07-28T06:28:38.196Z |
| 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 | 5gChyxo9vgwu · 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
Answerwatch Track what AI models recommend—and see when the answer changes. Your brand, product, or category can look different depending on which model someone asks. Answerwatch makes that visible: run the same prompt across models, compare their recommendations, and keep a local audit trail as answers drift. Everything stays local in SQLite. The only external call is the model request you choose to make. ┌─ OpenAI prompts ───────────├─ Anthropic ──► ranked entities ──► agreement + drift └─ Google │ ▼ static HTML report Start here — two-minute demo Requires Python 3.10 or newer. python -m pip install -e . answerwatch init answerwatch run --demo answerwatch compare answerwatch report Open the HTML path printed by the last command.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.