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Daniel O'Duffy
Product person
Daniel O'Duffy is a seasoned professional with a strong background in building digital products at scale.
His educational journey includes a Bachelor's Degree in Philosophy from Yale University, a program in Liberal Studies focusing on Philosophy and Psychology from the University of Notre Dame, business fundamentals and tactics training from General Assembly, and attaining Leaving Certificate (hons.) from Abbey Community College.
Daniel's professional career showcases his expertise in product management roles at reputable organizations. He has held positions like Senior Product Manager & AI Lead at Diligent, Senior Product Manager at Codecademy, Senior Product Manager at Skillsoft, Product Manager at Codecademy, Product Operations Manager at Codecademy, Product Marketing Manager at Codecademy, Director of WeWork Labs at WeWork, Community Manager at WeWork, Admissions Producer at General Assemb.ly, Associate Admissions Producer at General Assemb.ly, and Regional Coordinator at Obama for America.
Highlights
Great vertical AI usually starts with one exhausted operator.
Noetica is a good example. The founder is ex-Harvard Law and spent years at Wachtell, one of the best law firms in the world, buried inside massive M&A and debt transactions for public companies. Now he’s building an AI-driven deals intelligence platform for exactly those workflows and exactly those firms.
Dan has been in the room at 2 a.m., marking up documents, chasing down changes, and living every painful manual step in the process. He can tell you, in detail, which parts of the workflow are safe to automate and which ones would get someone fired if you messed with them.
So when I think about vertical AI, I’m looking for a tight loop…
Lived experience → Clear view of the pain → Proximity to paying customers.
Noetica is that.
Everyone overestimates headcount and underestimates obsession.
That’s why I’m betting big on tiny, world-class teams in 2026.
A few weeks ago, on stage, Anthropic’s head of agentic research explained his vision for agents frameworks.
After the talk, a founder friend called me and said, “Our five-person team has been working with that exact mental model for six months.”
Yes, the big labs have hundreds of brilliant researchers. Yes, they have enormous compute budgets. But small, world-class teams are what most people underestimate.
It only takes a handful of truly excellent people, pointed at a clear wedge, to see where things are going and build into it early.
The Tiny Team Advantage:
• No committees. • Zero legacy product lines. • They can bet big and move fast.
Over the next few years, a competitive advantage will go to the people who see the next pattern first and are willing to organize their entire business around it.
And a tiny, obsessed team can absolutely do that.