Show HN: Sanitizer – Strip sensitive data from documents locally before an LLM
Sanitizer is a tool that removes sensitive information from company documents before they are used with large language models. It creates a searchable knowledge base from large project files, aiming to improve answer relevance while protecting privacy. The product is priced at $49.99 after a 15‑day free trial and is available through the Microsoft Store.
- ▪Sanitizer strips client identities, credentials, and other sensitive data from documents locally.
- ▪It converts large project files into a clean, searchable knowledge base for faster, more precise AI answers.
- ▪The service offers a 15‑day free trial followed by a $49.99 subscription.
- ▪It provides automatic updates and is distributed via the Microsoft Store.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,143 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 | Provexar |
| Canonical URL | https://provexar.ai/sanitizer |
| Publication time | Sat, 01 Aug 2026 01:42:54 +0000 |
| Retrieval time | 2026-08-01T01:53:01.053Z |
| Last seen | 2026-08-01T01:53:01.053Z |
| 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 | D9ruVEnjRIy4 · 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
Business & commercialSanitizer (Business)Prepare company documents for AI without exposing client identities, credentials, or other sensitive data. Turn large project files into a clean, searchable knowledge base so teams get faster, more precise answers with less noise.$49.9915-day free trial, then $49.99 · automatic updates · in Microsoft Store.Get it on the Microsoft Store
Excerpt limited to ~120 words for fair-use compliance. The full article is at Provexar.
Discussion
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