Clemens Rawert

915 posts

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Clemens Rawert

Clemens Rawert

@rawert

@langfuse @clickhousedb

Berlin شامل ہوئے Şubat 2013
1.2K فالونگ939 فالوورز
پن کیا گیا ٹویٹ
Clemens Rawert
Clemens Rawert@rawert·
🇯🇵 Next Langfuse Night in Tokyo on Friday, April 24th. @maxdeichmann and my humble self are going to be presenting + broader team is going to be in town, too!
Langfuse JP同好会@LangfuseJP

そしてLangfuse Night #5 を開催します at 高輪GW Tsunagu Base! 内容はお察しください! そして今回もありがとうございます @minorun365 !! langfuse.connpass.com/event/387257/ No Trace, No Truth!

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Sai Srirampur
Sai Srirampur@saisrirampur·
Wanted to share the raw feedback from one of our early customers @TrainyAI using Postgres managed by @ClickHouseDB. For context this is a production Postgres cluster running on a 3 node setup (cross AZ HA) Thank you for all the feedback and support so far, @asaiUwU. Means a lot to us, as we build out a world-class Postgres service at ClickHouse. 🙏 ❤️
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Lotte
Lotte@lotte_verheyden·
Full house at @ClickHouseDB AI Demo Night!
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Clemens Rawert
Clemens Rawert@rawert·
excited for open house in SF end of may! sign ups are now open.
ClickHouse@ClickHouseDB

We're thrilled to announce Guillermo Rauch, Founder & CEO of Vercel, will be joining us at Open House for a fireside chat. Guillermo taught himself to code at age ten in Argentina. He co-authored Next.js, the world's most popular React framework. He created socket.io and Mongoose.js. And he now leads Vercel, on a mission to help teams ship the best products on the web. You do not want to miss this conversation. 🙌 Spots are limited. Register today to make sure you're there. clickhou.se/41gsHxC

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Sumit Kumar
Sumit Kumar@TweetsOfSumit·
I’m looking for a managed @ClickHouseDB provider. 🔎 Query intensive (peak 200 queries per second) ✏️ Minimal writes Any recommendations?
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David E. Weekly
David E. Weekly@dweekly·
It's not your imagination. SF is getting a lot better.
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Lotte
Lotte@lotte_verheyden·
Ran autoresearch on the Langfuse skill, it's the closest demo of the alignment problem I've personally experienced. It still improved the skill though :)
Lotte@lotte_verheyden

x.com/i/article/2037…

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Stanlee | Web developer
Stanlee | Web developer@stanlee0nX·
“npm install” :
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Clemens Rawert
Clemens Rawert@rawert·
@stuffyokodraws we have this one at our office and it’s great. It’s shocking how a) call boxes and b) multiple people even in spacious meeting rooms - increase co2. Really changed my perspective on making sure air circulates
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Yoko
Yoko@stuffyokodraws·
Today's life hack: always bring a co2 monitor to work / office to make sure you are not poisoned by co2 while in meetings
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Adrian Ziegler
Adrian Ziegler@adrmtu·
Healthcare software was designed for humans. Multi-step, nuanced workflows: prior auth submissions, EHR note creation, eligibility verification. The kind of work that can't be reduced to an API call. That's what AI agents in healthcare are being asked to automate. And the infrastructure to do it reliably doesn't exist off the shelf. We build it: A coding agent to generate automation scripts, fully managed infrastructure to run them at scale, and a maintenance agent to keep them working as portals and EHRs change. Today, we're announcing our $5M seed round, backed by Floating Point, @MeridianStCap, Twine Ventures, @refractvc and angels like @zacharylipton (CTO, Abridge) and @dps (fmr. CTO, Stripe). If you're building AI agents that need to operate payer portals or EHRs, we'd love to talk. And we're hiring!
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Marc Klingen
Marc Klingen@marcklingen·
New post to point to when friends ask “why did you decide to join ClickHouse” Fast/scalable/cheap OLAP is essential in a world of agents: - single agent interaction triggers dozens of queries - o11y and DWH converge - AI data analyst & AI SRE need to be part of platform
Tanya Bragin@tbragin

Hot take: your data strategy is more likely to derail your AI initiative than your model choice is. Everyone's debating which LLM to use. Almost nobody is asking whether their data platform can actually serve it. In my latest post (clickhouse.com/blog/ai-redraw…), I cover three converging shifts: real-time analytics, data warehousing, and observability — and why the architectural demands of AI (high concurrency, low latency, full-fidelity data) don't match what incumbent platforms were designed for.

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