Everett Randle
Everything Everett personally uses, recommends, or has created — plus things they don't recommend — sourced from their own show and appearances on other podcasts.
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"They have Nemotron now. Nemotron by all appearances is like a great start and I know a lot of people in our portfolio that are actually quite bullish on the future of Nemotron."
"Nvidia has one that's pretty solid now with NeMo Tron, but like where are the US open source models?"
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"Anthropic's going to buoy so many fund returns across their portfolio of funds that you might, you know, you're like, look, we don't need to play super conservatively from here on out."
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"We obviously had the SpaceX IPO which was huge for several firms."
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"Lor and Harvey have just like absolutely eye-watering numbers that for the last three years now, clearly among the very best."
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"You look back at the Snowflake IPO and you're like — the thing was at less than $500M of revenue and went out to like $80 billion."
"DataDog and Snowflake are good examples of this — usage-based components that scale in relation to tokens or correlated AI."
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"I just wanted to tweet back the Open Router token rankings. If they're so good, why don't people use them? Look at the top 10 on Open Router — all of them are Chinese."
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"We're in Scale AI and they've become this huge awesome platform for the task economy and kind of like finding the data that actually now moves these models forward."
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"Jesse at Decagon actually had a really good post on this where he talked about just the fact that for mature use cases that can be well-known and can be fine-tuned on, you just don't need frontier intelligence anymore."
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"A lot of people are working with folks like Fireworks AI to custom train and fine-tune these increasingly good open-source models."
"Companies like ours like Fireworks that run inference platforms for their enterprise customers on open models, all of these companies that have to do that are in the token path."
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"If they can be differentiated competitively by shipping faster by using Fable and just like spamming Fable the whole time, they're going to do that."
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"My partner Eric Vishria led the Series A of Sunday Robotics. It doesn't have legs — it has a platform that can help it go up and down. It almost looks like Ness from Super Smash Bros — it has like a little hat and these long arms. So it's pseudo-humanoid for the home."
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"I lost all my college savings shorting Tesla. That was such an unbelievably valuable lesson for me in my life."
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"I can go buy Adobe for eight times free cash flow with all of these problems that we don't know how they're going to resolve, or I can go buy Nvidia for 16 times earnings — the poster child of every single tailwind that we were talking about in AI, with 80% share of the most important piece of the compute tech stack."
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"When XAI was fundraising, there were a lot of people that, you know, on just the pure dimensions of the companies, both of those investments were hard to look at and think that they were going to be good deals."
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"Palo Alto, CrowdStrike, Cloudflare, DataDog, Palantir, all these companies trade above 15 times NTM revenue again."
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"Palo Alto, CrowdStrike, Cloudflare, DataDog, Palantir, all these companies trade above 15 times NTM revenue again."
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"The Bessemer Nasdaq Emerging Cloud Index over the last 5 years is down 44%, and the iShares Semiconductor ETF is up 325%."
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"Obviously it takes longer to scale robotics AI than it does ChatGPT, because a robot is not accessed through a website or an API — you have to buy it and put it together and put it to use."
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"Palo Alto, CrowdStrike, Cloudflare, DataDog, Palantir, all these companies trade above 15 times NTM revenue again."
Mentioned in 1 episode
"Palo Alto, CrowdStrike, Cloudflare, DataDog, Palantir, all these companies trade above 15 times NTM revenue again."
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