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Research & Knowledge

Why let AI analyze my data instead of learning Excel formulas or SQL?

Because the bottleneck stops being syntax and becomes asking good questions. Modern AI tools write and run real code on your files, so a founder can get in seconds what used to take weeks of formula and query practice. You still want enough data literacy to sanity-check what comes back, but you no longer need to master VLOOKUP or JOINs before getting real answers from your own numbers.

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More in Data Analysis

How do founders get insights from CSVs, analytics, and surveys using AI? 18 → What can AI-in-spreadsheets (Claude in Excel, Gemini in Sheets) actually do? 20 → Which AI tool should I use for data analysis: ChatGPT, Claude, Gemini, or a dedicated tool? 18 → Can AI write SQL for me and query my database in plain English? 18 → How do I know the numbers AI gives me are actually right? 18 → Is it safe to put my company's data into AI tools? 18 → How do I build dashboards and charts with AI, without a BI tool or a data team? 18 → How do I analyze customer feedback, reviews, and support tickets at scale with AI? 18 → Which metrics should my startup track, and how can AI help me stay on top of them? 18 → Can AI clean up my messy data: duplicates, formats, and half-filled columns? 18 → Do I still need to hire a data analyst, or can AI cover it for now? 16 → How do founders use AI for financial modeling and forecasting? 18 →

Also in Starting Up

The same ground, over in Grow & market, our Starting Up track.

What growth metrics should I actually track as an early-stage startup? 3 → Should I even be running paid ads at this stage? 2 →
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