AI stock research, read out of what people actually said
Most stock research asks you to trust a conclusion. Zortix does the opposite: it takes the finance podcasts where investors, analysts and operators argue their positions out loud, and turns those conversations into ideas you can check — each one carrying who said it, on which show, and the timestamp where they said it.
The “AI” part is narrow and worth being precise about. Language models do the transcription and the extraction: reading hours of audio and pulling out the distinct claims, the reasoning behind them and the risks the speaker named. They do not form a view. There is no model deciding a name looks attractive, no score, no target price. Every opinion on this site belongs to a person who said it on the record.
Finance podcast episodes are transcribed with timestamps, so every sentence stays anchored to the second it was spoken.
A language model reads the transcript and pulls out each distinct investment idea, with the names discussed, the reasoning given, the stated risks and what would validate it.
Every idea keeps its source: the show, the episode, the speaker, the moment. Nothing is summarised into an anonymous consensus you cannot check.
Ranked by how much the shows have talked about them, not by anything Zortix thinks of them. Each links to every attributed idea about that name.
Get a weekly digest of what podcasts said about your watchlist.
Pick a few tickers. Once a week we send the most-discussed ideas across finance podcasts, attributed and linked so you can verify. No noise, no advice.
Double opt-in: we’ll email you to confirm before anything else. We store your email and chosen tickers only to send this digest. Nothing else, and we never share them.
What is AI stock research?
Using machine transcription and language models to turn what investors and analysts actually said into structured, attributed, checkable claims. Zortix applies it to finance podcasts: every episode is transcribed, each distinct investment idea is extracted with the reasoning around it, and the result is linked back to the speaker and the moment.
Does Zortix recommend stocks?
No. Zortix reports what was said, who said it and when. It produces no ratings, price targets or recommendations, and the model forms no opinion of its own — the views belong to the speakers and are attributed to them. Research and education only; verify independently before any investment decision.
Where does the research come from?
Publicly published finance podcast episodes. Every extracted idea links to its episode, the show, the speaker where identified, and the timestamp, so any claim can be checked against the recording it came from.
How current is it?
Episodes are processed as they publish. Each ticker page carries mention counts over 7, 30 and 90 days, so you can see whether a name is being discussed more or less than it was.
What does discussion depth mean?
How substantively a name was engaged in the conversation — a passing mention against a sustained argument. It describes the discussion, not the merit of the idea, and it is not a rating, score or forecast.
Do podcast hosts disagree with each other?
Often, and that is treated as a feature rather than something to average away. Where shows take opposing views on a name, both sides are kept and attributed, and the theme pages group the arguments that keep recurring across shows.