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Tl;dv: Over 180k meetings left wide open

tl;dv (Too Lazy; Didn't Validate): 181,874 Meetings Left Wide Open

bobdahacker.com

August 10, 2026

7 min read

🔥🔥🔥🔥🔥

70/100

Summary

tl;dv (Too Long; Didn't View) is an AI meeting recording platform that integrates with Google Meet, Zoom, and Teams to record, transcribe, and summarize meetings. The platform has over 2 million users and is backed by investors, with endorsements from prominent figures in the sales community on LinkedIn.

Key Takeaways

  • The tl;dv platform has a vulnerability that allows any authenticated user to access and query all meeting records across the platform, exposing sensitive information such as conference IDs and email addresses.
  • There are 181,874 meeting records belonging to 84,312 unique users across 35,003 email domains, including government, university, and corporate meetings.
  • An attacker can join live meetings by obtaining conference IDs from the exposed Firestore database, with approximately 1,000 meetings in recording status at any given time.
  • The tl;dv platform is used by over 2 million users and is endorsed by a significant portion of LinkedIn's sales influencer community.
Read original article

Coverage & discussions

Hacker News · bobdahacker.com

Tl;dv: Over 180k meetings left wide open ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Mixed

Positives

  • The interest in AI note takers is palpable, with users eager for local solutions that can avoid security pitfalls — the race is on for better diarization and speaker identification!
  • Developers are actively working on improving local AI note-taking tools, showing that innovation in this space is far from stagnant.

Concerns

  • The exposure of sensitive data due to lax security settings in AI products raises serious concerns about user trust and accountability.
  • Commenters are rightly skeptical of SOC2 compliance, calling it a marketing ploy that doesn't guarantee actual security — how can users feel safe?
  • There's a pervasive fear that AI tools are a security risk, making users hesitant to adopt them, even when they could boost productivity.

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