startup
also referred to as: startups
21 statements across 20 episodes · 3 bullish · 5 bearish · 20 people on the record · first statement Dec 5, 2013 by Mike Dauber · across every show →
Everything said about startup, oldest first
Dec 5, 2013
Completing the last mile of product execution kills many enterprise startups
“Creating feature functionality that goes across the board that works the enterprise scale, it actually proves to be pretty hard to do, and what happens, what ends up happening to a lot of startups is that, that last mile, if you will, proves to be the killer, …”
Dec 5, 2013
Startups without traction need a core market insight to raise venture capital
“A venture firm early on, if there's no data points, we have to have something that we can hold onto and say, Yeah, these guys haven't done this before, but, right, they have some core insight or some knowledge of the market where they've spent more time on thi…”
Dec 19, 2013
Wilson: Startups should build platform services on data rather than sell raw data
“I don't think selling the data is the right thing to do. I think the right thing to do is to build services on your platform that take advantage of the data that let the people who might buy the data from you instead come and build businesses And transact on y…”
Oct 16, 2014 neutral
Feb 18, 2015 negative
Sep 14, 2015 negative
Unfunded corporate partnerships with startups are always a waste of time
“Oh god, yeah so big companies will come to you. If you're a startup here, they'll come to you and say, hey, we don't have any money, but we want to do a partnership, and like, they'll use terms like joint value creation. Like, you should just run fast from the…”
Sep 14, 2015 positive
Dec 17, 2015 negative
Jan 25, 2016
Sep 30, 2016 negative
Dec 8, 2016
Oct 26, 2017 positive
May 18, 2018
Piantino: Startups building deep learning products struggle with infrastructure
“If you have startups in your portfolio, I know we have at least one VC in the audience, so and they're trying to do something in deep learning. They're trying to build a new product with some of this technology. I think you'll find that they do struggle with i…”
Jun 8, 2018
Chris Dixon: Startups facing bundlers need order-of-magnitude better technology
“The key is to, you just, you need, you just really need, like, an order of magnitude, kind of better technology and product, like, it just really raises the bar, right, because it's essentially an old problem in startups, which is you're competing against bund…”
Apr 3, 2023 bullish
Catanzaro: AI startups must reimagine workflows rather than iterate existing tools
“And I think that that is the promise of LLMs and startups. It's not to build better versions of things that exist today, but rather to kind of reimagine some of the tools and systems that we use in an LLM centric way.”
Sep 6, 2023 neutral
Feb 8, 2024
Alex Rinke: Do not scale GTM or raise big money before achieving PMF
“I would not recommend you thinking about partnerships, or scaling go to market, or hiring salespeople, or even raising a lot of money, to be honest, before you feel really confident that you have a product that solves a problem, that you can scale, that you ca…”
May 16, 2024 bearish
$1B to $10B foundation model training costs price out startups
“As the cost to train all these large language models becomes bigger and bigger, Amazon's talking about a billion dollars for a single run or ten billion dollars for a single run. It's beyond the realm of startups to really spend any time there.”
May 31, 2024
Jan 23, 2025
Rogojan: Early startups should hire fractional data engineers and full-time analysts
“I do think like if you're early starting out, There's no problem in probably bringing on some sort of consultant to do maybe more of the data engine work and then bring on a full-time maybe analyst to kind of work on top of that is what I'd imagine would be go…”
May 28, 2026 neutral
Levie: Savvy startups can exploit temporary VC subsidies for AI compute
“Cause like, if you were really savvy, there's probably some parts of the market where you keep like, oh, I could somehow use this LP capital to do work for me as my startup. And there's like a window where you can find those exploits.”