Show HN: TamedTable, AI ETL in Natural Language
Load tabular data, say what you want, and watch it happen. Take a guided tour: it replays real sessions, free. TamedTable > normalize the phone numbers NamePhoneCountry John D.
- ▪Load tabular data, say what you want, and watch it happen.
- ▪Take a guided tour: it replays real sessions, free.
- ▪TamedTable > normalize the phone numbers NamePhoneCountry John D.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,263 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 | Tamedtable |
| Canonical URL | https://www.tamedtable.com/ |
| Publication time | Sun, 02 Aug 2026 07:51:37 +0000 |
| Retrieval time | 2026-08-02T08:00:42.270Z |
| Last seen | 2026-08-02T08:00:42.270Z |
| 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 | GBDsVLqF6Mww · 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
Talk to your data. Load tabular data, say what you want, and watch it happen. AI ETL: no formulas, no code. Open Web App View on GitHub No API key? Take a guided tour: it replays real sessions, free. TamedTable > normalize the phone numbers NamePhoneCountry John D. Doe(200) 555-1234+12005551234USA Anna Müller+49 555 6789+495556789Germany 张三+86 555 1234+865551234China Every common data job, in natural language Transform with context The AI understands context, so it cleans, enriches, classifies, and validates — things no formula can. See everything See changes as they happen. Nothing is hidden: TamedTable is source-available, and runs on your own API keys. Reuse and automate Every change saves as steps you replay on new data, or export as a Python script. Runs in browser and CLI.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Tamedtable.
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