Overview
Datalayer brings AI agents into the day-to-day environment of data scientists and analysts, sitting alongside notebooks and compute infrastructure. The platform supports code generation, data analysis, and scalable workflow execution, with collaboration as a first-class feature rather than an afterthought.
The product is positioned in the Jupyter and broader data-science tooling ecosystem, with a Brussels base.
Key people
In the news
- 𝗙𝗿𝗼𝗺 𝘃𝗶𝗯𝗲 𝗰𝗼𝗱𝗶𝗻𝗴 → 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁-𝗳𝗶𝗿𝘀𝘁 → 𝘀𝗽𝗲𝗰-𝗱𝗿𝗶𝘃𝗲𝗻 𝗰𝗼𝗱𝗶𝗻𝗴 I’ve been using AI coding agents extensively for more than a year. For a long time, my workflow was mostly 𝘷𝘪𝘣𝘦 𝘤𝘰𝘥𝘪𝘯𝘨: define a reasonably well-scoped feature, sometimes write a document about it, give the context to the agent, and iterate. And it worked brilliantly. ⚡ For me, the productivity boost has easily been 𝟭𝟬𝘅. But I’m now trying to make that workflow much more structured. 📄 𝗕𝗲𝗳𝗼𝗿𝗲 𝘄𝗿𝗶𝘁𝗶𝗻𝗴
- 𝗦𝘂𝗻, 𝘀𝗮𝗻𝗱, 𝗰𝗼𝗱𝗲, 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆… 𝗮𝗻𝗱 𝘁𝗵𝗲𝗮𝘁𝗿𝗲. 𝗡𝗼𝘁 𝗮 𝗯𝗮𝗱 𝘄𝗲𝗲𝗸𝗲𝗻𝗱. I came back from a few days at the Belgian seaside—enjoying the sun, sand and sea, and wandering through some of the art shops along the coast. Then, somehow, I found myself back in front of the keyboard. 😄 But this time for something particularly enjoyable: implementing feature requests coming from the communities around: 👉 https://lnkd.in/ejpZ7ypv 👉 https://lnkd.in/ea-c7gGU And that was probably the highlight of my
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