Abishek Muthian (75)

Scarcity is luxury, hence luxury dining restaurants wouldn't risk being part of a food aggregator. As for food aggregator, with the average of 4X-5X the price of food items they usually sell; luxury dining doesn't fit their unit economics.

I guess, safety reasons was the first concern to not add blades to a Roomba.

Reg the advantage of betting against ourself for achieving a goal, check out sticKK - https://www.stickk.com/ and the psychological reasoning behind why it works is  discussed here. - https://hbswk.hbs.edu/item/the-key-to-keeping-resolutions-betting-against-yourself.

'needgap' now shows a snackbar on voting, to let you know that you have voted or why voting was not possible.

GitHub's sponsor program (https://github.com/sponsors) is addressing this need gap, not only they are matching individual contributions with their own funds, but also not charging any fees are covering the payment processing fees for the first year as well.

Data science/ML is about asking 'the right questions'. Questions on the data might differ according to the needs, although a tool which solves your problem can attempt to draw insights based upon data, I think much of it would depend upon how you define in the relationship between data yourself.

I've read that some managers prepare and issue invoices on the name of their clients to the company's AP to prevent delayed payments, if a tool is built to scan metadata then even such cases which may not be malicious may still get caught; although technically it may be still wrong according to company policies.