Show HN: Pro Health Ledger – An open-source, net-neutral reputation system
A new platform called Professional-Health-Ledger (PHL) aims to create an open-source reputation system for professional conduct. The initiative was inspired by personal experiences with poor management and seeks to provide transparency and accountability in workplace interactions. Users can vouch for or flag individuals based on their experiences, with a focus on maintaining a non-anonymous and legally sound environment.
- ▪The platform allows users to vouch for or flag individuals based on their professional conduct.
- ▪PHL is designed to be non-anonymous to prevent fake profiles and ensure legal compliance.
- ▪The system respects GDPR/DPDP guidelines and includes a moderation queue for text reviews.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=48257073 |
| Publication time | Sun, 24 May 2026 13:18:06 +0000 |
| Retrieval time | 2026-05-24T13:37:32.733Z |
| Last seen | 2026-05-24T13:37:32.733Z |
| 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 | fporg-EAWXY8 |
| 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
I joined a company where after joining I was shocked to be demeaned, belittled, publicly insulted in front of peers and my reporting team of AI engineers. The manager even crossed personal boundaries where he would even question my homemaker spouse as being irresponsible in taking care of our kids when they fell ill and I had to take a Wfh and leaves a couple of times. He used vulgar actions and language like "Why don't you hold and squeeze the b*lls of people who don't cooperate with us for sharing data?" This was even when HR (a lady) was sitting in the same room.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.