High Signal Podcasts Evidence ledger
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Public evidence record

Samuel Colvin

Published podcast speaker

Claims
14
Episodes
1
Shows
1
Named items
4

Books, apps, and tools

The evidenced stack.

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tool / avoids

ClickHouse

“We don't use ClickHouse. We started building our database with ClickHouse, moved off ClickHouse onto Timescale, which is a Postgres extension to do analytical databases.”

Latent Space · 6 Feb 2025

Evidence receipt · Source ↗

tool / built

Pydantic AI

“I glaze over a bit when I hear all of the different sorts of frameworks, but I like, and I will tell you when I built Pydantic, when I built Logfire and when I built Pydantic AI, my methodology is not to go and like research and review all of the other things.”

Latent Space · 6 Feb 2025

Evidence receipt · Source ↗

tool / built

Logfire

“I glaze over a bit when I hear all of the different sorts of frameworks, but I like, and I will tell you when I built Pydantic, when I built Logfire and when I built Pydantic AI, my methodology is not to go and like research and review all of the other things.”

Latent Space · 6 Feb 2025

Evidence receipt · Source ↗

tool / built

Pydantic

“I glaze over a bit when I hear all of the different sorts of frameworks, but I like, and I will tell you when I built Pydantic, when I built Logfire and when I built Pydantic AI, my methodology is not to go and like research and review all of the other things.”

Latent Space · 6 Feb 2025

Evidence receipt · Source ↗

Claim ledger

What Samuel said.

4 transcript-backed records

03 / evaluation

I'll answer that, but I'll answer what I think is a kind of parallel question, which is Pydantic's weird, because Pydantic existed, obviously, before I was starting a company.

“I'll answer that, but I'll answer what I think is a kind of parallel question, which is Pydantic's weird, because Pydantic existed, obviously, before I was starting a company.”
Speaker
Samuel Colvin
Publisher
Latent Space

04 / evaluation

One of the reasons we built LogFire the way we have and we allow you to write SQL directly against your data and we're trying to build the like powerful fundamentals of observability is precisely because we know we don't know the answers.

“One of the reasons we built LogFire the way we have and we allow you to write SQL directly against your data and we're trying to build the like powerful fundamentals of observability is precisely because we know we don't know the answers.”
Speaker
Samuel Colvin
Publisher
Latent Space
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