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Dataset: Dead mental health startups, 2000-2026, coded on 18 fields

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Dataset: Dead mental health startups, 2000-2026, coded on 18 fields
TL;DR · WeSearch summary

Research Dataset: 542 dead mental health startups, 2000-2026, coded on 18 fields AuthorPavel Trubetskov Published2026-08-04 Sample542 organizations, 2000–2026 Download the full report (PDF) Download the data No form, no email, no signup. CC BY 4.0 — use it, republish it, build on it. mh-graveyard-companies.csv — 542 rows, one per company. The main table. mh-graveyard-companies.json — same data, same field names, as JSON. mh-graveyard-labels-rationale.csv — 1,084 rows: the written reasoning behind every classification label.

Key facts
About this source

Hacker News (Front Page) files mainly under programming. We currently carry 1,101 of its stories. Top-voted stories on Hacker News.

Original article
Mentalium
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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 publisherMentalium
Canonical URLhttps://mentalium.me/en/research/mental-health-startup-graveyard-dataset/
Publication timeTue, 04 Aug 2026 17:30:55 +0000
Retrieval time2026-08-04T18:15:44.306Z
Last seen2026-08-04T18:15:44.306Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Clusterp97U6cUci3aL · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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

Research Dataset: 542 dead mental health startups, 2000-2026, coded on 18 fields AuthorPavel Trubetskov Published2026-08-04 Sample542 organizations, 2000–2026 Download the full report (PDF) Download the data No form, no email, no signup. CC BY 4.0 — use it, republish it, build on it. mh-graveyard-companies.csv — 542 rows, one per company. The main table. mh-graveyard-companies.json — same data, same field names, as JSON. mh-graveyard-labels-rationale.csv — 1,084 rows: the written reasoning behind every classification label. README.md — full data dictionary, method, limitations. LICENSE.txt — CC BY 4.0 and the suggested citation.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Mentalium.

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