Graph
topic on 5 shows · 6 statements across 6 episodes · said 11 times in 6 episodes since 2021
the Startup Ideas Podcast 9 
Capital Allocators 1 
20VC 1 
Latent Space 
the MAD Podcast
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the Startup Ideas Podcast 9Capital Allocators 120VC 1
2026 7 mentions in 2 episodes 4 per episode
2025 2 mentions in 2 episodes 1 per episode
2022 1 mention in 1 episode
2021 1 mention in 1 episode
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6 statements about Graph, every show
Trojanowski: Cheaper inference is replacing graphs and embeddings for agent ontologies
“As models are getting cheaper and cheaper, more and more of that actually can just be done using inference instead of using determined, like things like graphs or things like embeddings.”
Isenberg: Graph architecture lets you design AI workflows like small teams
“What's cool about a graph is it lets you design the work more like a small team. One part plans. A few work in parallel. Another checks the work. Another merges it. And then the human approves the final step.”
Schneider built an AI agent pipeline to automate podcast guest bookings
“Basically scraped all of the podcasts that were within the marketing category and then built a workflow that goes in cold emails them. And then an agent that responds back to book me on that podcast. This ends up turning into way better performing than I expec…”
White: Machine learning in chemistry centers on graphs, symmetry, and geometry
“In chemistry, it's all about graphs, right? It's all about how do you represent these graph structures. It's all about symmetry and geometry.”
Shah: Graph Representations Offer Observability That Vector Embeddings Lack
“They're much more discoverable. You can kind of see it. There's observability to it versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out”