Repetitive data work is the silent tax on modern productivity, and the fact that someone is asking "what actually hurts" before building a solution is a sign of genuine progress. Too many tools launch with assumptions about what users need, only to discover that the real pain points are far more mundane, and far more stubborn, than any feature list predicted.
The request for specifics on annoying workflows, frequency of execution, and the most frustrating steps reveals something important: data automation is not a single problem but a constellation of small, recurring frictions. Combining files, cleaning data, standardizing columns, deduplicating, these are not glamorous tasks. They are the daily grind that eats hours across every department, yet they rarely get the engineering attention they deserve. The focus on the visual setup is right, because the barrier to entry for most spreadsheet users is not capability but confidence. Power Query, VBA, and Python all work, but each demands a learning curve that many users never have the time or support to climb.
What stands out here is the honesty about scope. It is not claiming to solve every data problem or replace enterprise tools. They are asking who runs these processes and whether others need to run them too. That question gets to the heart of organizational drag: when one person becomes the unofficial data janitor, knowledge concentrates in a single bottleneck. A tool that lets multiple people automate their own workflows, without needing to hand off to the specialist, is the kind of practical empowerment that actually shifts productivity curves.
We see this as a welcome departure from the usual product launch pattern. Too often, the conversation starts with "here is what we built" and ends with "trust us, it's better." Starting with "here is what we want to understand" is a more honest and ultimately more useful approach. User input is being treated as design material, not market validation. That distinction matters. If the resulting tool can make the visual setup as intuitive as the workflows it replaces, it will solve a problem that spreadsheets have quietly inflicted on millions of people for decades: the feeling that you should be able to automate something, but you just don't know where to start.