> Our goal continues to be building the best LLM engineering platform Interesting headline for a checks notes time series database company.
[0] https://clickhouse.com/blog/clickhouse-acquires-langfuse-ope...
21–30 of 99 posts
> Our goal continues to be building the best LLM engineering platform Interesting headline for a checks notes time series database company.
[0] https://clickhouse.com/blog/clickhouse-acquires-langfuse-ope...
the "Prompt Management" part of these products always seemed odd. Does anyone use it? Why?
You want to see the best results you can get from a prompt, so you use features like prompt management an A/B testing to see what version of your prompt performs better (i.e. is fit to the model you are using) on production.
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/clickhous...
> Our goal continues to be building the best LLM engineering platform Interesting headline for a checks notes time series database company.
(they've never been a time series database company either lol)
Earlier quoted context omitted.
Without the purchase price, it is unclear whether this deserves congratulations or condolences. Two years in the LLM race will have definitely depleted their seed raise of $4m from 2023, and with no news of additional funds raised it's more than likely this was a fire sale.
Anecdotally, from the AI startup scene in London, I do not know folks who swear by Langfuse. Honestly, evals platforms are still only just starting to catch on. I haven't used any tracing/monitoring tools for LLMs that made me feel like, say, Honeycomb does.
> Our goal continues to be building the best LLM engineering platform Interesting headline for a checks notes time series database company.
It’s great when you get this insight as a student of NLP, because suddenly your toolset grows quite a bit.
Congratulations to everyone involved, quite remarkable considering Langfuse was only founded as part of YC 23.
Without the purchase price, it is unclear whether this deserves congratulations or condolences. Two years in the LLM race will have definitely depleted their seed raise of $4m from 2023, and with no news of additional funds raised it's more than likely this was a fire sale.
They also say in the announcement that they had a term sheet for a good series a.
I think the team just took the chance to exit early before the llm hype crashes down. There is also a question of how big this market really is they mostly do observability for chatbots but there are only so many of those and with other players like openais tracing, pydantic logfire, posthog etc they become more a feature than a product of its own. Without a great distribution system they would eventually fall behind I think.
2 years to a decent exit (probably 100m cash out or so with a good chunk being Clickhouse shares) seems like a good idea rather than betting on that story to continue forever.
> Our goal continues to be building the best LLM engineering platform Interesting headline for a checks notes time series database company.