Investment research has never been about a lack of information. The real challenge is turning scattered calls, filings and transcripts into clear judgment under extreme time pressure. Analysts often spend days cleaning data and drafting decks, only to find opportunities slipping away in the overload.
Our guest Sean Wu, former CEO of BigOne Data, has seen this bottleneck from the inside. With his new venture Cedar, he is building an investor co-pilot: a tool that sits in meetings, merges transcripts with personal notes, and generates initial research reports in hours instead of days.
This episode is not only about faster workflows. It is about why finance may be the hardest domain for AI, where compliance rules, messy data pipelines and the psychology of high-ego investors make trust the ultimate moat. We also explore Sean’s idea of the “super individual”: how a single analyst, with the right tools, can operate at team-level scale without giving up control of the final decision.
Hosts and Guests
Sean Wu, founder of Cedar, former CEO of BigOne Data
Aaron Zhou, investor, co-host, co-editor of Baiguan.news
Diane Ding, co-host and co-founder of ShengFM
Disclaimer: The information in this episode is provided for informational purposes only and does not constitute legal or financial advice. All commentary reflects the personal views of the guests, based on publicly available information and first-hand operational experience.
