Congratulations to everyone involved, quite remarkable considering Langfuse was only founded as part of YC 23.
The fact that all metrics are relative doesn't suggest they got an amazing deal
ClickHouse acquires Langfuse
31–40 of 99 posts
Re: ClickHouse acquires Langfuse
#32I predict it will be Pydantic next to get picked up by someone for logfire and agent framework.... fine as long as all these open source projects stay open source then good for them
The Pydantic stuff is nice, but in a minimalist way that I don't see being amenable to SaaS/vc/etc.
Re: ClickHouse acquires Langfuse
#33For those building applications with Langfuse and Clickhouse - do you like these products? I get the odd request to do an AI thing, and my previous experience with LLM wrappers convinced me to stay away from them (Langchain, Llamaindex, Autogen, others). In some cases they were poorly written, and in other ways the march of progress rendered their tooling irrelevant fairly quickly. Are these better?
Re: ClickHouse acquires Langfuse
#34the "Prompt Management" part of these products always seemed odd. Does anyone use it? Why?
We use it for our internal doc analysis tool. We can easily extract production genrrations, save them to datasets and test edge cases.
Also, it allows prompt separation in folders. With this, we have a pipeline for doc abalysis where we have default prompts and the user can set custom prompts for a part of of the pipeline. Execution checks for a user prompt before inference, if not, uses default prompt, which is already cached on code. We plan to evaluate user prompts to see which may perform better and use them to improve default prompt.
Re: ClickHouse acquires Langfuse
#35For those building applications with Langfuse and Clickhouse - do you like these products? I get the odd request to do an AI thing, and my previous experience with LLM wrappers convinced me to stay away from them (Langchain, Llamaindex, Autogen, others). In some cases they were poorly written, and in other ways the march of progress rendered their tooling irrelevant fairly quickly. Are these better?
The observability stuff can be nice for deployments but really, these libraries/frameworks don't actually do much more than provide some structure, which unless you're expecting a team with high turnover to maintain it, doesn't really matter all that much, especially if you're an experienced developer, you'll find better design/architectures fitting for your use case without them.
Re: ClickHouse acquires Langfuse
#36Just did a funding round. In a sign of the times clickhouse used to be an interesting DB product, but is now a "database software that companies can use as they develop AI agents " Database technology startup ClickHouse Inc. has raised $400 million in a new funding round that values the company at $15 billion — more than double its valuation less than a year ago. https://www.bloomberg.com/news/articles/2026-01-16/cli…
Investors are finicky creatures, if you've been relying on VC-funding since before, it's hard to stop until you are really successful, and if everyone starts to only look at shiny AI stuff and you still need investors, you end up with not much choice.
I wish there was less of it, we'd have better software then, but :/
Re: ClickHouse acquires Langfuse
#37For those building applications with Langfuse and Clickhouse - do you like these products? I get the odd request to do an AI thing, and my previous experience with LLM wrappers convinced me to stay away from them (Langchain, Llamaindex, Autogen, others). In some cases they were poorly written, and in other ways the march of progress rendered their tooling irrelevant fairly quickly. Are these better?
The observability stuff can be nice for deployments but really, these libraries/frameworks don't actually do much more than provide some structure, which unless you're expecting a team with high turnover to maintain it, doesn't really matter all that much, especially if you're an experienced developer, you'll find better design/architectures fitting for your use case without them.
Hm I find this very much a "please reinvent the wheel" take.
These frameworks provide structure for established patterns,but they also actually do a lot that you don't have to do anymore. If you are for example building an agentic application then these kind of frameworks make it very simple to create the workflows, do the chat with the model providers, provide structure for agentic skills, decision making and the human in the loop, etc. etc.
All stuff that I would consider "low level". All things you don't have to build.
If you have an aversion to frameworks then sure - by all means. But if you like to move faster and using good building blocks then these frameworks really help.
One thing to keep in mind - many of these AI frameworks are open source and work really well without needing backend services. Or you can self host them where needed. But for many that is also the premium model, please use and pay for our backend services. But that is also a choice of course.
Re: ClickHouse acquires Langfuse
#38Just did a funding round. In a sign of the times clickhouse used to be an interesting DB product, but is now a "database software that companies can use as they develop AI agents " Database technology startup ClickHouse Inc. has raised $400 million in a new funding round that values the company at $15 billion — more than double its valuation less than a year ago. https://www.bloomberg.com/news/articles/2026-01-16/cli…
Investors are finicky creatures, if you've been relying on VC-funding since before, it's hard to stop until you are really successful, and if everyone starts to only look at shiny AI stuff and you still need investors, you end up with not much choice. I wish there was less of it, we'd have better software then, but :/
Would we? You can look at places with less funding and see how many software companies get off the ground.
Re: ClickHouse acquires Langfuse
#39Earlier quoted context omitted.
Investors are finicky creatures, if you've been relying on VC-funding since before, it's hard to stop until you are really successful, and if everyone starts to only look at shiny AI stuff and you still need investors, you end up with not much choice. I wish there was less of it, we'd have better software then, but :/
Would we? You can look at places with less funding and see how many software companies get off the ground.
> You can look at places with less funding
Yeah, like FOSS which is drastically underfunded since birth, yet continues to put out software that the entire world ends up relying on, instead of relying on whatever VC-pumped companies are putting out.
I'm not talking "better software" as in "made a lot of money", I meant "better" as in "had a better impact on the world".
Re: ClickHouse acquires Langfuse
#40> Our goal continues to be building the best LLM engineering platform Interesting headline for a checks notes time series database company.
Language models are time series models. It’s great when you get this insight as a student of NLP, because suddenly your toolset grows quite a bit.
Could you elaborate? because that sentence made my brow wrinkle with confusion. I have thought to myself before that all business data problems eventually become time series problems. I'd like to understand your point of view on how LLMs fit into that.