Spreadsheets are not the problem. The way we use them is.
When we see a post like the one from Errolfernandes, asking businesses to share their Excel use cases so he can build custom services, we don't see a developer fishing for ideas. We see someone who has spotted the real gap in the market. The gap isn't more spreadsheet features. It's the repetitive, manual work that people have accepted as normal for decades.
Think about what happens in a typical business spreadsheet. Someone copies data from an email into a cell. Another person reformats it. A third runs a VLOOKUP to match records. Every week, the same steps. Every month, the same errors. The spreadsheet itself works fine. The process around it is what drags productivity down. Errolfernandes is right to look for repeated use cases, because repetition is where AI can step in and make the biggest difference.
We believe the future of data work is not about replacing spreadsheets. It is about removing the friction inside them. If you are a business owner or a data professional, ask yourself this: How many hours does your team spend cleaning data instead of analyzing it? How many times have you manually formatted a report that could have been generated automatically? Those are the moments where AI can simplify your workflow, not by taking control away, but by handling the predictable, tedious steps so you can focus on decisions that require human judgment.
Our take is straightforward: The opportunity Errolfernandes is chasing is real, and it is large. Businesses do not need another plugin or a flashy dashboard. They need tools that understand their patterns and automate the drudge work. If you are considering custom services, start by mapping out the three most repetitive tasks in your organization. That is where transformation begins.