Name: Pabrai Watch - Investment Signal Intelligence
Creator: Agenturwerft GmbH
License: https://creativecommons.org/licenses/by-nc/4.0/

About Pabrai Watch

What this site does

Pabrai Watch automatically scans YouTube for videos featuring Mohnish Pabrai, extracts transcripts, and uses AI to identify investment signals – companies, markets and positions he mentions. It surfaces information that would otherwise require watching hundreds of hours of video.

Column guide

Date – The estimated recording date of the video, not the upload date. Marked with ● Explicit (date explicitly stated in transcript, extracted by Signal Intelligence), ◉ Context (inferred from content by Signal Intelligence), or ○ Video Date (upload date used as fallback).
Company – The company or asset mentioned. "Market Signal" means Pabrai referenced a market without naming a specific company.
Market – The country or region associated with the signal.
Type – The nature of the signal: owns, bought, watching, sold, bullish, bearish, or unknown.
Quote – A verbatim excerpt from the transcript (max 15 words).
Context – A one-sentence AI-generated explanation of what Pabrai means.
Confidence – How certain the AI is about this signal. 90–100% = explicit clear statement. 70–89% = clear but implicit. Below 70% = treat with extra caution.
Video – Link to the original YouTube video.

Important limitations

Pabrai often discusses past positions. An "owns" signal may refer to a historical holding, not a current one – always check the date.
The same statement may appear in multiple videos and show up as duplicate signals.
AI transcription and extraction are imperfect. Proper nouns, company names and numbers may be misread.
Signals with confidence below 70% are speculative extractions and should be verified independently.
This site has no affiliation with Mohnish Pabrai or Pabrai Funds.

Disclaimer

This website is for informational purposes only and does not constitute investment advice. All investment decisions are solely the responsibility of the reader. Always verify signals against primary sources before acting. Past mentions of a security by Pabrai do not guarantee current ownership or future performance.

Signal Intelligence refers to our proprietary AI model that extracts, structures and scores investment-relevant information from public sources into actionable signals. Signal Intelligence can make errors - dates, company names and positions may be misidentified. All signals should be treated as starting points for research, not as verified facts.

SEC 13F filings are mandatory quarterly disclosures filed with the U.S. Securities and Exchange Commission. They reflect holdings as of the end of each quarter and are filed up to 45 days after the period end. Positions may have changed significantly since the filing date.

Source batches: Signals are categorised into three batches: SEC 13F – official mandatory filings; Investor – content from Pabrai's own YouTube channel, representing primary source material; 3rd Party – interviews and content published by other YouTube channels.

Privacy Policy

Data we collect

This website does not collect any personal data. No cookies are set, no tracking scripts are loaded, and no data is transmitted to third parties.

Local storage

This site uses your browser's localStorage solely to remember your preferred colour theme (light or dark). This data never leaves your device and is not accessible to us.

External links

This site links to YouTube videos. When you follow these links you are subject to YouTube's and Google's privacy policies. We have no control over data collected by third-party platforms.

Data sources

All signals are derived from publicly available YouTube transcripts and public financial disclosures. No private or non-public information is used.

Contact

For any privacy-related questions please contact us at

Responsible party

Agenturwerft GmbH · Sonnenbergstrasse 33 · CH-8212 Neuhausen am Rheinfall · UID CHE-449.610.377

Mohnish Pabrai is a US-based investor and philanthropist known for his disciplined application of Warren Buffett's and Charlie Munger's value investing principles. As founder of Pabrai Investment Funds, he has delivered outstanding long-term performance by focusing on undervalued companies with a high margin of safety.

What Pabrai Watch does

Never spend hours watching YouTube again. We scan every video for you and surface what matters.

Pabrai Watch automatically scans YouTube for videos featuring Mohnish Pabrai, extracts transcripts, and uses AI to identify investment signals - companies, markets and positions he mentions. It surfaces information that would otherwise require watching hundreds of hours of video.

Pabrai Watch now also integrates SEC 13F filings - the mandatory quarterly disclosures every fund manager over $100M must file. This means you see not just what Pabrai says in interviews, but what he actually owns.

Algorithm-independent

YouTube only shows you what its algorithm thinks you want to see - filtered by your watch history, location and language. Pabrai Watch uses the YouTube Data API directly, bypassing personalisation entirely.

We scan every video regardless of language - Hindi, Turkish, Chinese, Spanish, and more. No filter bubble, no subscriptions required, no content hidden by regional availability.

The result: signals from interviews that most investors never even knew existed.

Signal quality

Every signal includes a confidence score, the original quote, and a direct link to the source video for independent verification. Signals are included even at low confidence - we prefer to include rather than omit. Dates are quality-graded: ● Explicit, ◙ Context, ○ Video Date.

This website is for informational purposes only and does not constitute investment advice.

Verified dates only

Visible: 1379

Filtered: 0

Sort by:

Date	Company	Market	Type	Quote	Context	Confidence	Source

Pabrai Watch is free

Scanning hundreds of YouTube videos, running AI analysis and keeping this updated daily costs real money. If this saved you time or gave you a useful signal, consider buying me a coffee.

Support on Ko-fi →