aarohmankad

Not sure when you were testing, but we do call out some instability on the Fidelity Institution Status page in the Developer Dashboard.

> To maintain system stability, Fidelity currently limits access during high-volume windows. As a result, please expect unavailability between 9-10:30am and 3-4:30pm ET. We recommend end users link Fidelity accounts between 5pm - 9am ET.

I think there might have been a misunderstanding on your point. From what I read, Riju was wholly created after the intern left Repl.it

This is a very biased interpretation. Your salary may not be adjusted if you work in a similar CoL area. Only if you move from HCoL to LCoL (and vice-versa!)

Too many people assume remote work always means working somewhere far away from a major urban city.

It's cool that you're working on this! But piece of advice: It would be really nice to see the platform (a screenshot or video) before having to sign up.

Saw this awesome project on Lobsters. I went ahead and ported these components to generalized, composable Styled Components. There's also an npm package at `every-layout`.

https://github.com/aarohmankad/every-layout

Has that sweet spot been quantified as a multiplier of resting metabolic rate? Would love to experiment around with that number.

The article seems to say that the 60-min cardio group had been closer to that sweet spot, but it's not very concrete about that assumption.

For the people that want to read the report but not offer their information to Spotify:

https://mega.nz/#!XZ5gXQaY!v9o4KM48y2e0k7ama2O82ZLefvezK2F8Z...

That's definitely something I've experienced as well! I've learned to take the time to absorb what people are saying/meaning with a greater degree of detail. (That's at least how I believe I'm behaving, though it's tough to self-analyze.)

I'm incredibly interested in how the brain experiences time during events of stress or high action. (The skier tripping/falling is used as a visual example in this article.)

On a much smaller scale, I wonder how time experience is changed among individuals who consume media at different speeds? For example, I watch all video media (Youtube, Netflix, various movies) at 2x speed. It could be intriguing to compare my experience of a movie versus someone who watched it regularly. Does the constant 2x-ing affect my evaluation of time in regular life?

I'd be happy to read any and all articles/papers you may have on the topic.

Not a job board, but I've found a great place to find work is at a conference/event for something you're passionate about.

This could be a technology, language, stack, anything that's cool to you!

I believe there's a relatively simple ssrMode flag in Apollo Client 2.0 that may help your use case here?

To hit on one of your issues, Apollo Client 2.0 now has decoupled cache management, meaning you can tune the cache to your specific use case.

Love the article, really hit home for me. I attend UCR, which while being a UC, doesn't get nearly enough attention for its engineering program.

If your company would like to put the practices of this article into use, I would be happy to help you diversify your recruiting process! (I'm on the board for many of our engineering orgs.)

UCR has a surplus of extremely qualified students that don't get internships because of the lack of active recruiting happening on campus.

2.5 months for an internship. Made $15/hr in Los Angeles (lived in Culver City)

This may be only for college students, but my undergraduate research only takes me 10 hours per week.

Seems like a helpful tool!

Curious to hear what other's opinions are on the learning curve of a project like this.

To me, it seemed a lot to understand (with file structure, architecture, etc.) over something more minimalistic like Next.js (https://zeit.co/blog/next3)

I used the server tutorials in howtographql.com, they were very informative.

Scroll down to the hands on tutorials, the ones on the right are server-side tutorials. I still recommend you read through the beginner material as well!

https://www.howtographql.com/

This is really cool!

I'd love to the idea to seek through the content. (Maybe through the parens keys?)

For me, it would ideally show a sentence (or x chars) both before and after. Or maybe a view similar to less?

Also in response to protection against malicious requests, you may find the following link helpful.

It goes over several ways to secure your endpoints, along with pros and cons for each.

https://www.howtographql.com/advanced/4-security/

I've just started building a server/client seed that I can use in the future for my personal projects.

The concerns you have with the front-end are founded. However, you can send a request to a GraphQL endpoint in a very REST-like manner. If you can build a wrapper to create the query as explained in the Stack Overflow post, you can essentially negate the need for Relay/Apollo. (At least until you need any of the helpful tools they provide.)

https://stackoverflow.com/questions/42520663/how-send-graphq...

There is a video on the Apollo GraphQL Youtube channel where an engineer from Yelp talks about the process of switching from REST to GraphQL. (Along with a talk from Airbnb, who are currently in the process of the switch.)

https://youtu.be/rapO30fpREg?t=1582

Awesome! I would suggest updating your documentation, as there are some places where the graphql-* variant is mentioned.

Is this a direct replacement for graphql-server-express?

I've been using it while following along the backend JS tutorial at howtographql.com and was wondering if it's now outdated and what the migration would look like.

Your talk sounds very interesting! Any chance it will be uploaded?

My suggestion: If your audience will experience a major speed/efficiency/accuracy improvement using your tool, you should definitely have rigorous before/after comparisons. Also show how it's easier to use your tool than any existing tool (if true).

How experienced is your audience in the technology presented in your talk? What's your talk on?

Less experienced: I would go with a step-by-step walkthrough of a basic example, with some "Going Forward" inspiration at the end.

More experienced: I suggest doing a deep-dive into an aspect of the technology that may be taken for granted. A lower level understanding is usually appreciated. Maybe address some newer features that can improve a developer's workflow with the technology.

My biggest pain point when I contribute to open source has always been the owner/maintainers being unresponsive to new issues/pull requests.

I wonder if this is a consequence of the behavior Hammer is describing?

I've recently started using Pandas as my main tool for data-cleaning in my Machine Learning projects. The ease of manipulation is unmatched compared to other tools I've used.

Anyone had a similar experience or have a better tool to suggest?

This is the correct answer. We can even account for the assumption with an empty check before the rest of the code. (If the array is empty, it doesn't have a max value.)

I still haven't found a better replacement for the trailers that play before the actual movie.

I end up watching a much greater percentage of those than movies I try to find and enjoy on my own.

However, with my Netflix usage increasing, I've found that I usually peruse their recommendations and watching something from there.

> "I assembled this chart to show how this can already have an impact five days into the experiment..."

https://rradczewski.github.io/ymmv/assets/office_noise_noisy...

I don't think this chart demonstrates your point. Don't you want people to eventually stop needing to use Noisy at all? As of now the chart just shows that more people are familiar with the Slack command.

I would also be interested in knowing how large the team is that this is being tested on.