Ankur Goyal

5 statements across 2 episodes · 2 bullish · 1 bearish · 1 people on the record · first statement Oct 11, 2024 by Ankur Goyal · said 11 times in 4 episodes since 2025 · across every show →

On the record as a speaker too: Ankur Goyal's record, appearances and statements → this page counts the times other people say the name.

Mentions by year

brought up most by Shawn Wang (4)

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2026 9 mentions in 2 episodes 5 per episode
2025 2 mentions in 2 episodes 1 per episode

every mention, scene by scene, with the transcript →

Everything said about Ankur Goyal, oldest first

Oct 11, 2024 negative
Insight
Goyal: Vector Search Hard Part Is Application Permissions, Not Search
“The problem is that the challenge in deploying vector search has very little to do with vector search itself, and much more to do with the data adjacent to vector search. So, for example, if you are at Figma, the Vector search is not actually the hard problem.…”
Ankur Goyal Oct 11, 2024 ▶ 1:15:11 Production AI Engineering starts with Evals
Oct 11, 2024 bullish
Prediction Not checkable as stated
Goyal: Software engineers will drive AI engineering, but ML tools are unusable for them
“The real gap is that software engineers who have a particular way of thinking, a particular set of biases, a particular type of workflow that they run, are going to be the ones who are doing AI engineering, and that the tools that were built for ML are fantast…”
Ankur Goyal Oct 11, 2024 ▶ 34:05 Production AI Engineering starts with Evals
Oct 11, 2024 positive
Insight
Goyal: Adopting evals resolves engineering stalemates over prompt and model choices
“And I think in the absence of evals, what I saw at Impera, and I see with almost all of our Customers before they start using brain trust is this kind of like stalemate between people on which prompt to use or which model to use or which technique to use that …”
Ankur Goyal Oct 11, 2024 ▶ 31:34 Production AI Engineering starts with Evals
Oct 11, 2024
Insight
Goyal: Founders lacking customer intuition lose to inferior technology
“However, I learned firsthand that if you don't have a very deep, intuitive understanding of your customer, everything becomes harder. Like, you need to throw product managers at the problem. Your own ability to see around corners is much weaker. And, you know,…”
Ankur Goyal Oct 11, 2024 ▶ 12:53 Production AI Engineering starts with Evals
Dec 7, 2025 neutral
Assertion Not checkable as stated
Goyal: Commercial AI customers are reticent to give eval data to labs
“The interesting thing is that most customers, or actually I'd say a stronger statement, like all customers are quite afraid and reticent to just hand over the data that they use to do evals on to labs.”
Ankur Goyal Dec 7, 2025 ▶ 29:24 The Great Evals Debate — Ankur Goyal & Malte Ubl
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