@Basedash

The AI-native business intelligence platform. Basedash makes everyone a data analyst.

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Joined January 2020
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/baseda…
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Introducing: MCP writes in Basedash. From Cursor, Claude, or any MCP client, ask for a chart or a whole dashboard. Basedash explores the schema, writes and validates the SQL, picks the visualization, and lays it out. The result comes back as a real Basedash chart with a durable link and a rendered image, so you can keep iterating in the IDE or share it with the team.
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Only a matter of time before Tableau starts sending these emails regarding @Basedash
Legacy SaaS is in serious trouble. By the time your product leaders are offering to pay churned customers to see a demo of the platform winning all your business, the game is already over.
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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.
The better the harness, the better the business. Berkeley published a study this week showing harnesses, the systems that control AI agents, set the price of an answer. The right harness cuts the cost of the same result by 71% without a loss of accuracy.
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Every AI answer should come with receipts. Basedash now shows the tables, definitions, charts, connections, web pages, exact SQL, and returned rows behind every answer. Thinking collapses when it’s done. Sources stay one click away. producthunt.com/products/bas…
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Basedash has never exposed a model picker and likely never will. This is the way.
The model picker era is coming to an end. More than 1B+ prompts have been sent to Lovable, and each one has helped us learn which model performs best for each task. For every prompt in Lovable, our system decides the right models, tools, instructions, and context - when to retry, when to replan, and when to route work to our own trained models. A model company can improve its model, but we improve the whole system, combining all the frontier models. In the end, we don’t want you to think about models. We just want you to go build cool stuff. Read in full: lovable.dev/blog/the-model-p…
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👋
this meeting could have been an MCP invoked search of our company’s internal knowledge base that aggregates data from virtually every service we use behind a unified retrieval layer and provides a streamlined interface for extracting critical business insights
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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.
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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.
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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.
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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)
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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!
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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!
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Basedash retweeted
This Super Bowl ad was 100% generated by AI. Full prompt in comments.
🤖 Made with AI
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Basedash retweeted
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.
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.
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