[ktamura]

This is a great product idea. If you ask any Excel power users, by far the most time-consuming and hard-to-automate task is text and date manipulation.

The beauty of this product is that its adoption strategy is baked into the product itself: I'd share this with all Excel user friends of mine because I want the algorithm to get smarter, and I might even learn a bit of C# myself so that I can contribute and scratch my own itch. This in turn makes the product better (because of the larger training data), lending itself to more word of mouth.

One concern I have is security: I'd love to hear from folks who built this/more familiar with this about how to ensure the security of suggested transformations.

[haswell]

I, too, wonder about security. Just as important: performance/scaleability. What happens when this runs on 100K rows against a service some guy stood up as a weekend project? Now what happens with 100 people hitting that service?

Either way, this looks very useful. Having spent more than my fair share of time massaging data prior to import, this looks pretty great.

[Analemma_]

> What happens when this runs on 100K rows against a service some guy stood up as a weekend project? Now what happens with 100 people hitting that service?

Then they complain to Microsoft, who helpfully suggests the product they should upgrade to. This has always been a strong spot of Microsoft's. "I see you've scaled beyond the capacity of [Product A]. Well, fortunately for you we have [Product B] which can handle it, with a nice import wizard to get you started painlessly." It typically goes Excel > Access > On-prem SQL Server > Azure.

This sounds very negative and I swear I don't mean it that way. It's a great sales tactic if you offer products at every level of scale.

[paulddraper]

SQL Server lite < SQL Server

[dandare]

Slightly different use case but still very useful for data manipulation is the OpenRefine (formerly Google Refine) https://www.youtube.com/watch?v=B70J_H_zAWM