About CEOInterviews.AI
The largest structured archive of what executives actually say when they are not reading from a script. Verified transcripts, timestamped quotes, and podcast appearances for the C-suite of the S&P 500, the Nasdaq, and the major private AI labs.
Why I built this
Something shifted around 2020. After COVID and that year's election cycle, the people running the largest companies in the world started showing up on podcasts. The early Lex Fridman and Joe Rogan episodes with founders like Elon Musk were the leading edge, and it has only accelerated since. CEOs, CFOs, and COOs across both tech and traditional industry now sit for two and three hour conversations where they are far more candid than they ever are on a quarterly earnings call. They walk through roadmaps. They give real opinions on export controls, immigration, and supply chains, and many of those same executives also fund lobbying on those exact issues. That has material signal for both company performance and the policies themselves.
None of this is in NVIDIA's 10-K. None of it is on a Bloomberg terminal. It lives across fifty-plus podcasts, roundtable panels, and supply-chain expo keynotes, which are the venues where executives say what they actually mean. I built CEOInterviews.AI to capture all of it and structure it for every C-suite executive worth tracking. Long-form executive interviews are becoming the real channel for investor communication, after years of that channel being gatekept. We transcribe and organize it so you can search ten-plus years of an executive's own words in seconds, find contradictions, and watch a position evolve over time.
This shift is not a hunch. It is the clearest trend in our own data. We verified roughly 55,000 executive appearances in 2025, which is three times the 2024 count and more than every year from 2006 through 2019 added together.
Who I am
I have spent most of the last decade building the search and recommendation systems behind products that a lot of people use every day. That is the same core problem this company solves: take messy real-world media at scale, verify it, rank it, and serve it quickly and accurately.
- Early Instagram engineer. I was the first backend and ranking engineer on Instagram Search and the discovery page, and I co-designed the ranking behind Stories in 2016. I built large-scale search infrastructure, the applied ML stack, and the experimentation and feature-serving systems behind a product that now sees over a billion clicks a day.
- Engineering Manager at Coinbase, where I ran the recommendations org and led search and content ranking from zero to hundreds of millions in revenue. I wrote about that work on the Coinbase engineering blog.
- Engineering Manager at TikTok across video content understanding, RecSys, and search ranking, driving creator monetization.
- Wharton MBA. I have written for Harvard Business Review and Business Insider, and I built a widely used open-source project with millions of downloads.
- I advise Series C and D AI startups and hedge funds, including companies backed by OpenAI.
You can read the longer version of my background on LinkedIn and on my personal site.
The team behind the data
CEOInterviews.AI is a US based company with a global workforce. We run a team of more than twenty human labelers and annotators whose full time job is data quality, and we work directly with hedge funds and academic institutions that depend on that quality. We take compliance and due diligence seriously. Whether you are a financial institution or a business school, we have a streamlined process for security reviews, DDQ, and compliance sign off, so onboarding never stalls in procurement. The bar we hold ourselves to is simple: if a portfolio manager or a researcher is going to act on a quote, the attribution and the timestamp have to be right.
How we verify an interview
Here is how a single appearance becomes a verified, searchable record. We are open about the fact that AI does part of this work, and we are just as clear that a human review and compliance layer sits in the middle of every record before it reaches you.
- Cyclical sourcingWe continuously scan Google and YouTube, up to five times a day, for new executive appearances.
- AI pre-vettingA first pass checks relevance and confirms the speaker is who the source claims, so obvious mismatches never enter the pipeline.
- Secure ingest and metadataThe appearance and its structured metadata are stored in a secure PostgreSQL database with full provenance back to the original source.
- Human QC and compliance reviewPeople review every record for material nonpublic information, personal information, and basic integrity. This is the step that machines do not do for us.
- AI re-vetting and enrichmentA second automated pass adds compliance flags, topic tags, and the structure that makes a record searchable.
- Served to usersOnly then does the verified record reach institutions and individual users through the site and the API.
What you can do with it
Browse any executive's verified history, open a single quote to see its source video and context, or run the whole archive through our API. With the CEOInterviews API and a model like Claude, you can trace an executive's position on a topic across years, or surface where they have contradicted themselves, for Lisa Su, Tim Cook, Dario Amodei, Sam Altman, or anyone else we track.