jidiculous

No problem, good luck!

Academia Twitter could be helpful, but you'll have to find the relevant hashtags to follow for each field. You might also actually want to reach out to journal publishers like Nature or Elsevier (blegh) to see if they'll write a short piece about you. The Scientist(https://www.the-scientist.com) also runs news-style articles about peer-reviewed research as well as happenings in life science, so that could be an avenue you could explore for promotion too.

Another thing you could possibly do is ORCID sign-in. If users want their real names associated with their accounts, they may as well have an easy way to link their site presence to their publications, giving them further credibility (and accountability).

What's the size of your userbase so far?

Good point, I had forgotten about finaid provided "internally" by the university.

> The higher the % of international students the school takes in the more money they take in.

I thought that private institutions like MIT and Harvard charge the same rates for international and domestic students? For example, MIT's page on cost of attendance only lists one tuition rate[1].

It would be public institutions like the University of California that would stand to lose the most revenue percentage-wise from this policy, right?

edit: see replies below that elaborate on finaid for internationals

[1] https://sfs.mit.edu/undergraduate-students/the-cost-of-atten...

I'd say the advantage is less on the architectural side and more on the team efficiency side – you could possibly have a full-stack team that only needs to do most of their work in 1 language. The benefits of easing task-switching could make it worthwhile as a stack choice.

Yeah, I've been making my own! I just have it black, though – no milk or sugar. It's just something nice to sip on in the morning without having to wait for it to cool. I might try adding vanilla or something to it to switch things up a bit.

Hey, quick question about your coffee – why do you add peppermint oil? And how much do you add? I'm always looking to improve my coffee routine or try new things out. Currently I'm on an iced cold-brew trend because the place I'm in has been in a 40+°C heatwave for the last 5ish days.

I doubt it, the cost of building an assembly line for chip fab is apparently one of the most expensive among all kinds of manufacturing. This link was posted on HN last week that alluded to this: https://stratechery.com/2020/apple-arm-and-intel/

In the end, all non-human testing of potential treatments are meant to be fail-fast/fail-cheap. In terms of fail-fast, the timeline for seeing "lifetime" effects of a drug is far shorter in a rodent than in a human. In terms of fail-cheap, the ethical and monetary cost of a rodent suffering or dying due to unwanted effects of a drug candidate is judged to be lower than similar suffering in a human.

I do agree that lab animals aren't a resource in themselves – they're just the currently "next best" model to test in before trying a drug out in humans. In fact, mice are actually quite expensive in terms of time and money – custom-genotype mice can cost hundreds of dollars each, and that's just the up-front purchase price. The overhead of maintaining a mouse line is also quite high, with a huge loss incurred for accidental death or euthanization before they've been used as a model. When many research facilities were first shut down due to COVID lockdown this year, I heard that many labs at my university had to euthanize all their mice as they wouldn't be able to care for them. This represents a loss of months of research time and possibly thousands to tens of thousands of research dollars.

Another thing to consider is that many drug candidates that make it to the animal testing stage don't succeed with safety and/or efficacy testing. According to the FDA, 92% of pre-clinical animal tests actually fail to predict drug effectiveness in humans. This highlights a pressing need for other fail-fast/fail-cheap methods that should precede animal testing, like cell culture methods that could be used as a pre-animal screen.

cool tool! fyi you should probably add a license of some kind in your github repo.

Does Google Groups do what you want?

Honestly, this makes me appreciate Signal all the more – it seems the only barrier is getting friends to adopt it, but if used by an organization could it be an alternative to E2EE email?

I'd say that the availability of eSIM is a pro as well, although that just seems like a catch-up to most modern smartphones now.

I submitted this before and received a request from another developer to change the name. He's actually made a great tool for sending webpages to your Kindle device, and I recommend you check it out! https://github.com/darkhelmet/tinderizer

Hey, this is pretty cool! I made something similar but I was doing image comparison via cross-correlation template matching using OpenCV: https://github.com/jidicula/tinderizer.

A small correction to your README though:

> These pictures are in very low definition though.

There is a way to access the original (highest) resolution of the submitted images through the API. My code picks the lowest-res one though since I'm doing image comparisons.

However, looking at what the output is now, it looks like Tinder has tightened up their API since I wrote this. It used to be the case that each teaser profile that likes you would have all of its images accessible through the API. This is no longer the case, and only 1 image is accessible for each profile that likes you.