Only a matter of time before Tableau starts sending these emails regarding @Basedash

Excellent post. Would add that vendors can turn this into a GTM opportunity by sharing some of these cost savings with their customers, which we certainly do at @Basedash.

Basedash has never exposed a model picker and likely never will. This is the way.

Happy to announce the @Basedash Developer Platform. Hundreds of companies use Basedash for AI analytics, and they eventually ask: "Can we put this in front of our own customers?” Today, we're releasing a full-fledged platform to make this even easier. You can now build customer-facing AI analytics directly into your product with a single API. We were one of the first-ever companies to support embedded AI analytics. With this launch, we're definitely the most developer-friendly ;) Try it and let us know what you think.

We're proud to announce that Purpose Unlimited has selected @Basedash as their AI-native Business Intelligence platform. Purpose is a tech-driven financial services company managing billions in assets, whose businesses span asset and wealth management and small business financing. Their team is using Basedash to help their business users explore data and ship dashboards with greater speed and accuracy. Welcome aboard!

We have a new tradition for each time we add a million dollars in ARR: Million-dollar meals. Everyone on the team gets to take their loved ones out for a baller meal, paid for by @Basedash. Got this idea from @jonnilundy and @zenorocha and props to them because it's genius. Such a nice way to thank everyone for their hard work. We just crossed another milestone so... Bon appetit!

We're hiring a Founding Account Executive at @Basedash. BI is a huge market in the middle of a major shift. Tens of thousands of companies are ready to move off legacy tools built for a pre-AI world. We're building the one they move to. This is a founding seat, so you'll own the full cycle, prospect to close. You'll build the playbook the next reps run. You'll run live demos of a product you actually believe in and shape how we sell from the ground floor. This role comes with tons of autonomy + uncapped upside. If you want to sell something you believe in and have a hand in how it gets sold, get in touch.

We got a new shipment of @Basedash t-shirts! Made in a stealthy black-on-black. Who wants one?

Proud to announce that Poolhouse has selected @Basedash as their AI-native BI platform. Poolhouse is a tech-enabled pool entertainment company from the founders of Topgolf, reimagining a 500-year-old sport through interactive games set within hospitality-led venues designed for social experiences. Their team is using Basedash to explore data and ship dashboards with greater speed and self-serve. Welcome aboard!

We don't have a user-facing model picker in @Basedash. Tools that do (e.g. Cursor) are primarily optimized around a single persona: engineers. For that audience, model selection can make sense. But we have a product that spans sales, ops, marketing, finance and, yes, engineering. In a cross-functional environment, a model picker introduces friction and doubt, without any benefit to the end user. In the best cases, a model picker still has tradeoffs. One customer (a CTO) recently told us, half-jokingly, "I still have PTSD" from a specific model they were using in Cursor. Even AI-native users don't actually want to be the one accountable for picking the model behind every answer; they just want the answer to be right. Scenarios like this are exactly what we want to avoid. Selecting the right model for a workload is a design decision. You have to account for context windows. Reasoning quality. Speed. Latency. Cost. Failure modes. Plus a bunch of other stuff. In our view, design decisions should be made by us, not by the end user. That's what we get paid for. We want our customers to have fewer things to think about in their day. That's why we focus on routing to the best model per task: chart generation, chat response, and SQL writing each have different optimal models. We continuously benchmark against our own evals, and swap the moment something better ships. The routing is invisible, but it is governed. Our evals catch regressions and our workflows preserve consistency. Best of all? Customers get the benefit of model improvements, without having to manage the complexity themselves.

We’re hiring a Senior Full Stack Engineer at @Basedash! We’re a small team building the leading AI-native Business Intelligence platform. BI is a massive market entering a major shift with new ways of storing and computing data, and deeper governance for AI agents operating on company data. We’re looking for someone with strong full-stack fundamentals, real product sense, and genuine excitement about building with AI at the core of the product from day one.