The open-source AI native BI platform. Made for analysts ♥️ https://xitter.cf/t.co/NKYfzaql25

San Francisco
Joined November 2020
Lightdash retweeted
You can’t be fast and good is fake news spread by the slow When we first shipped Autopilot, our customers were very honest with us about it. They said it did the job, but it was too trigger-happy. Data teams wanted to decide what it could change, see exactly what it had done and why, and run it on the models of their choice. So we rebuilt it between the public beta and going GA. Now you choose what Autopilot is allowed to touch, and it can run in read-only mode while you get comfortable with it. Every action is logged, and anything it removes can be restored from the trash. That's one of my favorite things about building at Lightdash. Our customers tell us what they need, and the team crafts it immediately.
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I’m speaking at the @ClickHouseDB AI Builders and Databases meetup in London tomorrow! I'll talk about where AI fits into analytics right now and where we at @lightdash_devs think it's headed. 👉 Request a spot here: luma.com/clickh-ykgp
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Lightdash retweeted
We recently launched Autopilot: an agent that maintains your data projects for you. @joaovianacodes put together a short demo showing how it works. Try it out in @lightdash_devs and let me know what you think!
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Lightdash retweeted
Claude launched its newest artifact last week - dashboards! We've been testing them out at @lightdash_devs and they're pretty great. @datumnite wrote up a short blog on how to use them: lightdash.com/blogpost/how-t…
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Replying to @lightdash_devs
@lightdash_devs is not simply a BI tool. We are your opportunity to access frontier AI for analytics without having to worry about governance, or token spend, or distractions for the team. @typesafeai released jev a couple of weeks ago. It's already in our product, and our AI Agent is literally 10x quicker than any other "BI tool" Don't believe me? Here it is in action compared to our existing agent (which was the quickest, on the right). Rolling out to all our customers from today. credit to @joaovianacodes @charliedowler
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Lightdash retweeted
three weeks ago i got a puppy (not a corgi sorry). the night hours i've discovered i have while keeping her alive gave me a chance to kick off a fable session and ask it to build me an ios app for lightdash (@lightdash_devs) 🧵
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Lightdash retweeted
The game has changed. We just announced our biggest-ever product launch since we started @lightdash_devs Meet Data Apps - build anything on top of your governed data. Dashboards might actually be dead this time.
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Lightdash retweeted
8 agentic analytics demos, a hard 7 mins max per demo and 100 people in the Octopus Energy office. Thanks for coming along to @lightdash_devs first of many Demo Nights. Coming soon to SF, Amsterdam, Barcelona, Singapore and Tokyo…
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Lightdash retweeted
@lightdash_devs → No visual noise. The layout guides your eyes exactly where they want them. Social proof shows up right when you need that extra push. Smooth storytelling.
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It's great when things just work, and we get customer feedback like this. Agents are now handling the majority of the workload for folks in @lightdash_devs .
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Lightdash retweeted
OVER()? 💀 LAG()? 💀 PARTITION BY()? ☠️ window function sql syntax is old news. @lightdash_devs AI Agents will save your data team time, and get your business the answers they need quicker than you can say "ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING"
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Our salesperson used @cursor_ai to build their own dashboards and charts in @lightdash_devs without a single UI-click. Everything is as-code and was able to be configured down to the pixel.
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Lightdash retweeted
Grab some while it’s there @lightdash_devs
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SQLがわからなくてもSQLが組み立てられるといるSemantic Layerの最大のメリット #Lightdash #Lightdash_Tokyo
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Lightdash retweeted
Lightdashのミートアップに来たぞ #Lightdash_Tokyo #Lightdash
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🔥 Hot take 🔥 LLMs writing SQL queries ≠ revolutionary BI It's just chaotic and expensive. The real magic? Semantic layers that give AI actual context about your business logic. Stop having AI guess what "revenue" means. Define it once, use it everywhere 🎯
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Lightdash retweeted
These 38 startups each raised $10-50M from top-tier funds in recent weeks and are actively hiring:
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【Lightdashとは?⚡】 Lightdashは、データウェアハウスに直接接続してデータを探索、可視化、共有するためのBIツールです! 特にdbt(data build tool)とシームレスに連携し、リアルタイムでのデータ分析やダッシュボードの作成を支援します。 詳しくはコチラ!👇 findy-tools.io/products/ligh…
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