finance

8 statements across 7 episodes · 4 bullish · 0 bearish · 7 people on the record · first statement Jan 2, 2019 by Balaji Srinivasan · across every show →

Everything said about finance, oldest first

Jan 2, 2019 bullish
Opinion
Srinivasan: Finance, education, and healthcare are prime full-stack startup targets
“I would say that three industries in particular that are very good candidates for you know, full stack startups are finance, education, healthcare.”
Balaji Srinivasan Jan 2, 2019 ▶ 16:29 a16z Podcast | The Rise of Full Stack Startups
Jan 2, 2019
Insight
Swartz: Involve finance early as partners rather than debating finished proposals late
“I learned early on that it's better to involve them early and get them to partner in, in terms of coming up with what your true costs are and making them part of the, solution rather than somebody that you present to at the end to debate with you.”
Mike Swartz Jan 2, 2019 ▶ 28:42 a16z Podcast | Where's My Stuff? -- The Lowdown on Logistics and Ops
Jan 2, 2019 bullish
Opinion
Armstrong: Every investor should own one Bitcoin to learn about cryptocurrency
“Should every investor own maybe one Bitcoin? Yes, I think they should. And the reason is not so much as an investment. It's to start learning about this technology Which will be a major influence on finance in the future.”
Brian Armstrong Jan 2, 2019 ▶ 2:11 a16z Podcast | Bitcoin, Greece, and What’s Next for Cryptocurrency
Jan 2, 2019
Assertion Not checkable as stated
Clifford: Top UK tech grads entering finance dropped from 65% to 10%
“Four years ago when we started Entrepreneur First I know this from a recent conversation with a dean of engineering at one of the, you know, top technical institutions in the world that's very close to here, you know, they said 65% of their computer science gr…”
Matt Clifford Jan 2, 2019 ▶ 2:25 a16z Podcast | Building Tech Startups in a Place Where Tech Isn’t Everything
Oct 9, 2020
Insight
Cleary: Finance risk favors probability over high returns
“The kind of risk you take in finance is really, really, really high probability of success and low return. Around the West Coast, it's sort of the opposite.”
Teddy Cleary Oct 9, 2020 ▶ 0:36 "Crypto Startup School" Documentary
Sep 5, 2024 bullish
Prediction Not checkable as stated
Pande: Medicine will transition from a human problem to a data problem
“I think we'll get to that point where medicine will be about incorporating all this data. Data about me as a patient, data about everyone else that's like me to be able to draw the best conclusions. That's something that is just a computer problem. And that mu…”
Vijay Pande Sep 5, 2024 ▶ 24:51 Implementation, Data, Impact of Healthcare AI with Julie and Vijay
Aug 26, 2026 neutral
Assertion Not checkable as stated
Acharya: OpenAI is focused on health and finance
“Self-improvement, kind of health and finance are the two areas that OpenAI is focused on.”
Anish Acharya Aug 26, 2026 ▶ 24:12 The State of AI: Models, Moats, and the Consumer Renaissance
Aug 26, 2026 bullish
Insight
Acharya: Open-weight models are optimal for bounded-upside enterprise tasks like finance
“Conversely, when you talk about something like finance, you know, the best way to close the books is accurately. You can't close it, you know, 10 X better than accurately. So as a result, you kind of have this bounded upside problem where it makes sense to use…”
Anish Acharya Aug 26, 2026 ▶ 7:35 The State of AI: Models, Moats, and the Consumer Renaissance
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.