Supa Liu

Building dashboards and writing SQL for every analysis has long been the standard approach. But as someone without a professional data analytics background, I ve come to realize just how critical exploratory data analysis (EDA) is for driving business insights.

With the rise of prompt-driven EDA powered by Generative AI, it s now possible to explore data simply by asking questions in natural language no code required. This shift could make data exploration accessible to far more people, helping them unlock the hidden value in their data without relying on traditional tools and workflows.

Our team is focused on building AI-powered tools that enable automated data exploration making it easier for anyone to discover insights and make informed decisions.

From Vibe Coding to Vibe Data Engineering, Vibe Data Analysis, and even Vibe Marketing, this concept is turning traditional workflows into emotionally resonant, immersive experiences.

Could vibe-driven thinking reshape how we design products making tools more intuitive, collaborative, and enjoyable?

Would love to hear your thoughts on whether this is changing how your team builds or ships.

With AI getting better at parsing spreadsheets, generating dashboards, and even spotting trends automatically, I keep wondering:

• Will AI replace data analysts or just transform their role into something new?

• What tasks are you already automating?

• Are there risks in removing too much human context from data work?

Curious to hear how others are navigating this shift especially those building or using data-heavy tools.