We’re excited to double down on our partnership w/ Onehouse and co-lead the Series A w/ Addition. The company's new feature announced today - Onetable - enables customers to use Onehouse seamlessly w/ any major query engine. More from Jerry Chen: bit.ly/3HpkKLd

An exciting next step for our team at Onehouse! We're having a lot of fun building in this space, and are looking for talented folks to join us. See our open roles at: jobs.lever.co/Onehouse?lever…

There are some nice products for external docs, but nothing beats simple markdown files in Github. PM writes the docs > Eng review the PR > 🚢

Thinking of starting a startup or joining one early on? A crucial skill will be learning how to navigate the ups and downs of startup life. I've shared a reflection and some advice from my experience as an early employee at 3 startups. medium.com/@andywalner/up…

🎉 Exciting News! For Onehouse and those rooting for the open data lakehouse 🎉 We are happy to announce our $35M Series B round of funding, led by Craft Ventures. The new funding adds more fuel to the Onehouse rocketship, accelerating how we redefine the cutting-edge of

Today, I am happy to announce our $35M series B funding round, led by Craft Ventures . The Craft team is well-renowned for its work with amazing SaaS companies. @Mike_Rob_Craft is bringing the SaaS DNA to our board as we scale our customer base. 🏇 We remain laser-focused on

Essential advice for building a product across multiple teams

Shoutout ReadMe for coming around - this is a great new feature!

Imitation is the sincerest form of flattery Cursor

How do you build an AI startup that's defensible against smarter language models in the future? Here are my thoughts, inspired by OpusClip

In 2014, Elon Musk open sourced all of Tesla's patents, with the goal of expanding the electric vehicle market. Since then, annual EV sales have grown from 0.3 million to over 14 million (>4,000% increase). We are about to witness the same for AI.

Could Salesforce dominate the data market? Benioff claims they're targeting Databricks and Palantir (each ~$4B ARR). In May, Salesforce acquired Informatica for $8B, providing ETL/data prep. They also own Tableau (query engine + visualization), MuleSoft (integration), and

I'm closely watching single-node compute engines. Single-node data processing is not new, but recent creative products are making it more accessible for data teams. Distributed engines like Spark, Trino, Redshift, and Snowflake handle large volumes. For slicing subsets or fast

Everyone's talking about Databricks and Palantir. Meanwhile, Oracle's like "hold my drink" and adds their entire ARR ($4B) with just a few customers

Who taught Claude code Yiddish? 😂