Diana Hu
32 statements across 13 episodes · 19 bullish · 3 bearish · 2 people on the record · first statement Oct 10, 2018 by Diana Hu · said 3 times in 2 episodes since 2024 · across every show →
On the record as a speaker too: Diana Hu's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Pete Koomen (1), Jared Friedman (1), Garry Tan (1)
tap a year for its mentions
2026 2 mentions in 1 episode
2024 1 mention in 1 episode
Everything said about Diana Hu, oldest first
Oct 10, 2018 neutral
Hu: Escher Reality rewrote its entire codebase after joining Niantic
“The only time we started actually having all the best practices is actually once we joined Niantic, because now we have to integrate into the games which, ah, Pokemon Go has hundreds of millions of users, so we're burying ourselves to get a lot of the, we pret…”
Oct 10, 2018
Oct 10, 2018 positive
Hu: Writing computer vision algorithms in C++ enables seamless mobile-to-server migration
“It's a lot more efficient for us to write the code and all of the algorithms once, and then cross-compile it across all the architectures for Android or iOS, and even the backend, so that we run some of the CV algorithms, we could prototype it in the phone, an…”
Aug 28, 2019 negative
Aug 28, 2019 positive
Hu: AR is about deepening engagement with reality, not escaping it
“The thing that I really enjoyed about AR is about being engaged in reality instead of escaping it, where imagination to show or tell a story is really used to engage even more so, more deeply, with more layers of information represented, rather than really esc…”
Aug 28, 2019 neutral
Diana Hu: AR is in its installation phase building foundational infrastructure
“So AR is kind of in that phase of really building the installation phase of solving all the hard problems so that you get to a very expressive world in the future that I imagine where AR programming in AR could be just as simple as spinning up a website.”
Apr 21, 2023 neutral
Apr 21, 2023
Apr 21, 2023
Apr 21, 2023 positive
Early startup technical founders must choose 'good enough' over perfect architecture
“And you're going to have a bias towards building a good enough versus the perfect architecture, because if you worked at a big company, you might have been rewarded for the perfect architecture, but not for a startup.”
Apr 21, 2023 positive
Apr 21, 2023 negative
Hiring engineers at the MVP stage slows launches and blocks insights
“It's gonna actually slow you down in terms of launching quickly, because if you're hiring from a pool of people and engineers that you don't know, it takes over a month or more to find someone good, and it's hard to find people at this stage where it's very ne…”
Apr 21, 2023 neutral
Apr 21, 2023 positive
Early startup prototypes do not need to be fully functional
“The first stage is the ideating stage where you just have an idea of what you want to build, and the goal here is to build a prototype as soon as possible with the singular focus to build something to show and demo to users, and it doesn't even have to work fu…”
Feb 8, 2024 positive
Hu: Seven 'Attention' authors founded startups collectively valued over $6B
“That paper came out in 2017, and the fun fact, I was just looking this up, out of all those authors, eight authors, seven of them started different companies, and all of the companies in total, they're rate, they're worth valuation more than six billion.”
Feb 8, 2024 positive
Diana Hu: Fine-tuning businesses succeed when customizing for private industry datasets
“I think where is exactly that, where I think is having more legs is when these companies need to customize it to private data sets. So you have the open, general, big foundation model, but then you have to tune it up to specific data sets that, for example, a …”
Feb 8, 2024 bullish
Jul 12, 2024 positive
Jul 12, 2024 negative
Hu: Big-company multi-year secret launch playbook does not apply to startups
“And then founders think, oh, I did this at a big company. Of course, this is how my product needs to be done, because when I was an engineer at Apple, I had to work for, let's say, the Vision Pro project. I was like, I don't know. Eight years, a decade of work…”
Nov 1, 2024 bullish
Hu: 10T parameter models will spark a GPT-3 level innovation leap
“I think the type of level of potential innovation could be the same leap we saw from GPT-II, which was around one billion Parameters that was released with the paper of a scaling loss, which was one of these seminal papers that people figure out, okay, this is…”
Nov 1, 2024 positive
Hu: A YC startup built a Replit Agent clone in hours using o1
“They basically got a version of Replit Agent working with the product. All they had to prompt O-one with was all their developer, actually, some of their developer documentation and some of their code, and they could just prompt it, build me a web app that wri…”
Nov 1, 2024 neutral
Hu: Leading frontier AI models operate around 500 billion parameters
“Yeah, for a bit of context right now, the frontier models, I mean, they're not public, exactly how many parameters they have. But they're roughly in the 500 of billions-ish, like Lama-III, four or five billion. Anthropic is speculated to be five hundred billio…”
Nov 14, 2024 bullish
Hu: OpenAI o1 unlocks startups in physical engineering and biology
“To connect to Sam's essay is a lot of things that are going to make the atom world, physical world better because it's really good at math and physics. So any startup that's working around mechanical engineering, electrical engineering, chemical engineering, b…”
Nov 14, 2024 bullish
Mar 5, 2025 neutral
Hu: Effective vibe coding still requires engineering taste and debugging knowledge
“In order to do good vibe coding, you still need to have the taste, and you still need
That kind of classical, maybe not necessarily classical train, but enough knowledge to judge what's good versus bad.
And you only become good with enough practice.”
May 30, 2025 positive
Hu: Voice AI Startups Meta-Prompt with Frontier Models Before Distillation
“I think that's a common pattern sometimes for companies when they need to get responses from elements, elements in their product a lot quicker. They do the meta-prompting with a bigger, beefier model, any of the, I don't know, hundreds of billions of parameter…”
Jul 8, 2025 bullish
Hu: Cursor scaled from $1M to $100M revenue in one year
“We've seen crazy growth unlike anything, only possible with, right now with AI, like all these companies that we work with, zero to twelve million in 12 months. The cursor story where they went zero to one in one year, the next one to a hundred. This is, like,…”
Sep 3, 2025 positive
Sep 3, 2025 neutral
Dec 22, 2025 bullish
Dec 22, 2025 positive
Feb 6, 2026 bullish
Diana Hu: Opportunity exists for an agentic-first system of record
“And the system of record, there's opportunity for something that's kind of agentic first, because right now we're still kind of integrate very much with databases and SQL or NoSQL queries at a very low level. But imagine something that generates all the data t…”