For a laptop with >15 Watt peak consumption, a fan based design is easier to get working on the first attempt: maybe the fan will rotate faster than strictly necessary, but it will work.

On the other end, it generally takes a couple of iterations to get a fan-less design right, because you can't simply slap an oversized heatsink into a mobile device.

I have two issue with dataflow programming languages: 1) They generally do not support batch processing. In the past, when I needed batch rename variables in a dataflow, my solution was to export the flow into an XML, do the batch rename in a text editor, and import the XML back. 2) They generally do not support macros (operators, which would generate new operators). As a workaround, I was using Python scripts to generate the XMLs...

Also, the ranking algorithm should take into account the rank of the content when the upvote happened - 10 upvotes for a content on the 5th page is much more impressive than 10 upvotes for a content on the 1st page (keeping everything else constant).

An obligatory link to an article by Evan Miller about ranking: https://www.evanmiller.org/how-not-to-sort-by-average-rating...

However, to get the following requirement from the article:

> The algorithm should not produce false negatives, the community should find all high-quality content.

it might be better to estimate the upper confidence bound, like in Upper Confidence Bound bandit, rather than the lower confidence bound.

There is also DBLint (https://archive.codeplex.com/?p=dblint), which has a fairly comprehensive set of checks.

Looks interesting but I can't seem to find installation instructions in that link and found two github projects with the same name

Also it looks like codeplex archive "will" shutdown 7 days ago.