Over 181,000 AI meeting recordings left wide open in note taking app
I guess my emails were too long and they didn't view them. What is tl;dv? tl;dv (Too Long; Didn't View) is an AI meeting recording platform. It drops a bot into your Google Meet, Zoom, or Teams call, records everything, transcribes it, and generates summaries with AI.
- ▪I guess my emails were too long and they didn't view them.
- ▪What is tl;dv? tl;dv (Too Long; Didn't View) is an AI meeting recording platform.
- ▪It drops a bot into your Google Meet, Zoom, or Teams call, records everything, transcribes it, and generates summaries with AI.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,272 of its stories.
Story provenance
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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 | Hacker News (AI / LLM) |
| Canonical URL | https://bobdahacker.com/blog/tldv-hack |
| Publication time | Mon, 10 Aug 2026 12:26:05 +0000 |
| Retrieval time | 2026-08-10T12:35:42.063Z |
| Last seen | 2026-08-10T12:35:42.063Z |
| 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 | LmpNovB_tecO · 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
I reported this on January 28th, 2026. It is now July 2026. Six months later. The Firestore database is still wide open. The CTO never responded. I guess my emails were too long and they didn't view them. What is tl;dv? tl;dv (Too Long; Didn't View) is an AI meeting recording platform. It drops a bot into your Google Meet, Zoom, or Teams call, records everything, transcribes it, and generates summaries with AI. Over 2 million users. Backed by investors. Endorsed by half of LinkedIn's sales influencer community. They store your sales calls, job interviews, performance reviews, internal strategy sessions. The kind of content where someone says "this call is being recorded" and everyone nervously laughs and then shares trade secrets for 45 minutes.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (AI / LLM).
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