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.”
Public evidence record
Samuel Colvin
Published podcast speaker
- Claims
- 14
- Episodes
- 1
- Shows
- 1
- Named items
- 4
Books, apps, and tools
The evidenced stack.
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.”
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.”
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.”
Claim ledger
What Samuel said.
14 transcript-backed records
01 / belief
I think the success of Pydantic and libraries like FastAPI that build on top of it means that today that's no longer controversial in Python.
“I think the success of Pydantic and libraries like FastAPI that build on top of it means that today that's no longer controversial in Python.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
02 / belief
I think that I think there's a, you're, you're right on a lot of that. And I think that like, it's very easy to get distracted by what people are saying on Twitter and LinkedIn.
“I think that I think there's a, you're, you're right on a lot of that. And I think that like, it's very easy to get distracted by what people are saying on Twitter and LinkedIn.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
03 / belief
I think the other way to look at it is like in terms of either headcount or revenue or dollars in the bank.
“I think the other way to look at it is like in terms of either headcount or revenue or dollars in the bank.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
04 / belief
As I think happens to all of us, I sort of started seeing if I could do it a week and a half ago.
“As I think happens to all of us, I sort of started seeing if I could do it a week and a half ago.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
05 / belief
I would say you might need Pydantic AI and Logfire as well, but it gets you a long way, that's for sure.
“I would say you might need Pydantic AI and Logfire as well, but it gets you a long way, that's for sure.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
06 / evaluation
I guess they, like everyone else, get that this is important, and it's something that people are crying out to get instrumentation off.
“I guess they, like everyone else, get that this is important, and it's something that people are crying out to get instrumentation off.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
07 / preference
You have to use the date sub function. But like the fundamental thing is because we want our end users to write SQL, the like quality of the SQL, how easy it is to write, matters way more to us than if you're building like a platform on top where your developers are going to write the SQL.
“You have to use the date sub function. But like the fundamental thing is because we want our end users to write SQL, the like quality of the SQL, how easy it is to write, matters way more to us than if you're building like a platform on top where your developers are going to write the SQL.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
08 / evaluation
Their tech is awesome. But because I use it the whole time, I then get frustrated.
“Their tech is awesome. But because I use it the whole time, I then get frustrated.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
09 / preference
I mean, I'm super excited about Cloudflare workers running Python and being able to install dependencies. And if Cloudflare could only give me my invitation to the private beta of that, we would be exploring that right now because I'm super excited about that as a like compute level for some of this stuff where exactly what you're saying, basically.
“I mean, I'm super excited about Cloudflare workers running Python and being able to install dependencies. And if Cloudflare could only give me my invitation to the private beta of that, we would be exploring that right now because I'm super excited about that as a like compute level for some of this stuff where exactly what you're saying, basically.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
10 / 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
11 / preference
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.
“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.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
12 / 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
13 / prediction
One form of graph, which, as I say, like our agents are effectively one implementation of a graph, which is why under the hood they are now using graphs. And it'll be interesting to see over the next few years whether we end up with these like predefined graph names or graph structures or whether it's just like, yep, I built a graph or whether graphs just turn out not to match people's mental image of what they want and die away.
“One form of graph, which, as I say, like our agents are effectively one implementation of a graph, which is why under the hood they are now using graphs. And it'll be interesting to see over the next few years whether we end up with these like predefined graph names or graph structures or whether it's just like, yep, I built a graph or whether graphs just turn out not to match people's mental image of what they want and die away.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space
14 / disagreement
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.”
- Speaker
- Samuel Colvin
- Publisher
- Latent Space