Basedash

Basedash is live on Product Hunt today! The world's first AI-native Business Intelligence Platform. We loved building this product, and we hope you love it too. producthunt.com/posts/basedash…

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.

Launching on @ProductHunt today! producthunt.com/products/based…

Introducing Suggestions: personalized starting points for your AI chats, dashboards, and automations, generated from your own data. Most BI tools start with a blank page and it's on you to know what to ask. Basedash flips the script and makes the first move for you.

Launching on Product Hunt today: producthunt.com/products/based…

SCIM provisioning is now live in Basedash. Your IdP stays the source of truth for who belongs. Basedash keeps users, groups, and memberships in sync as the org changes, so nobody's doing app-by-app access cleanup.

2. track teams religiously the second we see a few signups from the same company domain that's one enterprise deal starting to form. we watch this obsessively. company email clusters are the best signal we've got (we use @basedash)

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!

This Super Bowl ad was 100% generated by AI. Full prompt in comments.

Six years ago I got into @ycombinator and built the first version of Basedash. It was a simple tool that let you edit data in your database. Now, six years later, we have a whole new product, and again we're shipping... database editing. But this time it's a look into the future of how companies are going to be run. At the surface, this feature is kinda neat but nothing new. You can ask the Basedash AI to edit things in your database or call MCP servers to take action in other tools. But, being a BI product, Basedash has a super deep understanding of your business. Probably better than you do yourself. Soon, Basedash will proactively start suggesting ways to make your business better. "If you extend this user's trial, they'll have a 50% higher chance of converting" "If you tweak your ad sequence with this copy, it'll increase conversion rate by 20%" One click to approve and run the experiment. This is how we transition to AI-run companies.

Learn more and share your support on Product Hunt: producthunt.com/products/based…

We're giving your BI tool the power to actually do things for you. With Basedash Actions, you can just ask the AI: "Extend Brian's trial 2 more weeks" "Update HubSpot with notes about their usage" "Set up a personalized demo workspace for Acme" Basedash already connects to all your tools and understands your company. All you have to do is ask. Works with your built-in governance, skills, and context. Live today.

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.

New in Basedash this week: 1/ Much deeper control over chart appearance 2/ Smarter chat responses with better memory 3/ More granular role-based access controls Quite a few additional small improvements as well. Over the next couple of weeks we'll be focusing on traceability for AI, a new category Basedash is helping to pioneer. To start, we're building one of the first ways to understand how your team is using you company data in MCPs, so you should see some big announcements around that. Hope everyone has a great weekend!

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.

@benln Basedash is hiring eng and sales Remote US/Canada basedash.com/careers

We're live on Product Hunt! Learn more and support us here: producthunt.com/products/based…

Introducing: Basedash for Slack. Your AI data analyst, now living in the place your team already talks. Now officially available on the Slack marketplace. Try it today.