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/… No Trace, No Truth!

Partially true but too much of a blanket statement. DELETE with well-tuned autovacuum works pretty well. Have seen it work at TBs scale with no hicuups. If DELETEs are large, we used to recommend customers to follow that with a manual VACUUM for table to reclaim space right away for future rows. DROP TABLE can be risky, it requires an ACCESS EXCLUSIVE LOCK and if its waiting, it blocks all other statements following it, because of how lock queues work in Postgres.

American breakfast. Another day of exploring starts😁

Just had our first Waffle House experience at 1am. Great food, great prices, and friendly staff. 10/10, we will be coming back.😋

quarterly Langfuse Town Hall on June 11th catch up on everything we've shipped: v4, the latest releases, and what's coming next on the roadmap. Q&A with the team at the end. open to the whole community. register: luma.com/7dny2x72

Here's something fascinating happening in the apartment market right now. The cheapest, oldest apartments (Class C) are getting crushed right now. But ONLY in cities that just delivered tons of new apartments. Let me show you the numbers: Denver: Class C rents down 13.9% Naples: Class C rents down 13.5% Austin: Class C rents down 13.3% Phoenix: Class C rents down 10.5% San Antonio: Class C rents down 7.2% Dallas: Class C rents down 6.5% What do all these cities have in common? They just absorbed a massive wave of new apartments. But here's the twist... In cities that DIDN'T get a big supply wave? Class C rents are actually RISING. 20 cities saw Class C rents go UP more than 3%. 19 of those 20 cities had supply BELOW the national average. So what's going on? It's basically musical chairs. When a brand new luxury apartment opens up, where do those renters come from? They don't appear out of thin air. They move from slightly older apartments. Those apartments now have vacancies. So they drop their rents to compete. That pulls in renters from even older apartments. And down the chain it goes. Eventually it hits the oldest, cheapest apartments at the bottom. And here's why they get hit the hardest: People living in Class C apartments are already spending a huge chunk of their paycheck on rent. To fill empty units, landlords have to cut prices A LOT. Sometimes enough to attract people who couldn't afford market-rate apartments before. It's like a waterfall effect. The water (new supply) at the top pushes everything down. But here's the important part: This proves that building new apartments - even "luxury" ones - reduces rents all the way down the spectrum. If it was just an affordability crisis, you'd see Class C rents falling everywhere. In high-supply cities AND low-supply cities. But we're not seeing that. We're seeing a perfect split: Lots of new apartments = falling Class C rents Few new apartments = rising Class C rents New supply at the top creates relief at the bottom. Also: wages have been growing faster than rents for 3 straight years. More people can afford apartments today than before. The bottom line? This is what happens when you actually build housing. Supply works. (Chart and analysis from Jay Parsons - one of the sharpest real estate economists out there)

Multi-year investment results in significant JOINs performance improvement in ClickHouse 💪

We sent a note to our early customers letting them know that Postgres managed by @ClickHouseDB is now in Public Beta and thanking them for all their support during the early days. Messages like the one below make everything we're doing so worth it. Thank you so much, Evgenii Baldin, for the kind words and for all the support you, Semyon Khlavich, and the @getsocialpruf team have given us. It means a lot!

Coming to SF for Snowflake Summit? Meet our team next to Moscone for coffee, drinks & database agent observability talk clickhouse.com/clickhouse-ca… cc @ClickHouseDB

day 5 of launch week: langfuse MCP. supports: observations, metrics, scores, datasets, comments, annotation queues, models, media, and more. claude or linear agents can pull a trace, drop a comment, or create dataset items without leaving the chat. langfuse.com/launch

day 4 of langfuse launch week: code evaluators. write a python or typescript `evaluate` function in the langfuse UI. attach it to live observations or an experiment. scores land natively next to your existing ones. @wochinge demos below; langfuse.com/launch