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Had to edit title to meet HN length requirements. More accurate alternatives welcome!


> "People have been asking me what happened when I didn’t show up to give my talk on the Web Animations API at Smashing Oxford."

As we submit to present at tech conference abroad and invite others to come to our country to present, we should be aware of situations like Rachel exprienced.


Her post title, "WTFUK" isn't desciptive, so I submitted with her Tweet title - https://mobile.twitter.com/rachelnabors/status/8257718818484...


I'm a graduate of an after-hours web development bootcamp who wants to move to a full-time web dev job.

I certainly can't move to a full-time web dev job at a reasonable salary after the bootcamp I attended. If I was willing to intern for 6-12 months at minimum wage, I would be able to - but I could have done that without the bootcamp.

The bootcamp doesn't share stats, only a post-graduation "employment" percentage. Which is pretty meaningless, for example, I'm employed but not doing web dev.


Every after-hours bootcamp I've heard of has had awful reviews. You're missing out on the whole "immersive" part of it, which is really what matters in a lot of ways.

Like how you learned Spanish a couple days a week in middle school. Do you remember more than how to count to ten and ask where the bathroom is? No, but if you had to live in Mexico for 3 months you'd get pretty adept and be able to make your way around and likely have conversations, assuming you put in the time to actually learn.


I would have preferred to do an immersive, in large part for these reasons, but couldn't afford both the tuition and loss of income for months.

The BC I attended claimed to have a flipped classroom model, which would have been better that in instructor in the front of the class demonstrating code. In addition, I was apparently one of the few students who actually did want to change careers, so my "peers" were never willing to work outside of class. Despite my day job, I put in at least 2 hours outside of class for each how in class.

Even with the after-hours approach, if the classroom model had actually been flipped, and there were several peers to work with outside of class, it would have been significantly better, and I think I could get a junior dev job.


I think you could still get a junior dev job, if you just do a bunch of projects, even if trivial or done before, that demonstrates you know what you're doing. If you don't know what you're doing, the projects will help you learn. Win-win.

If you don't mind me asking, what program did you go to?


Your main competitor that was just sold.


Your feedback is exactly the same that I get from others coming from that program. Thanks!


Not sure how I should have titled the OP, since it's to the very informative front page of Robomongo's site, but the important part is that they need funding.

Funds are being raised through https://www.indiegogo.com/projects/save-robomongo#/

I don't currently use Robomongo, but someone recently mentioned it as a useful tool and, well I'm a sucker for high-quality, open-source projects - I want them to be able to succeed or fail based on the product's merit not on the team's ability to raise funds! So, I'm trying to do my part and bring them a bit of HN visibility.


They need funding alright. So much that I nearly stopped scrolling down before getting to the part where they told me what the funding would be even for. How many GitHub stars they have apparently is more important.

It seems to be a database editor/GUI for MongoDB.

Upvoted anyways, seems like something people might be interested in.


For Android users, I've been using Libra for several years now and enjoy that I can customize the moving average.

http://www.appbrain.com/app/libra-weight-manager/net.cachapa...

https://play.google.com/store/apps/details?id=net.cachapa.li...


I've never used this app first-hand, but it's the one I recommend to users when they ask about an Android version. I didn't know they let you customize the moving average, so I'll have to check that out.

If you wouldn't mind sharing, how do they let you customize it, and what do you enjoy about that?


Under 'Preferences'[1] there is an 'Advanced Preferences'. In Advanced Preferences, there are two relevant settings: Smoothing Days and Forecast days. The differences aren't clearly delineated, so when I first started using Libra (several years ago), I ended up experimenting for several weeks.

The explanation for smoothing days is that it "[controls] how strongly each weight value affects the trend". It takes an positive integer value or 0. The recommended value is 7, but I ended up with 14. With higher values, both the forecast line and average line tend to be less dependent on recent weights and average out over a longer period.

The forecast days "[control] how many days to use for the forecast calculation. It doesn't specify what the acceptable range is, simply that the minimum value is 2 and the recommended value is 7. I ended up with a 14 here also. This value only impacts the forecast line, not the average line.

[1] On my phone, reached via Android's hamburger physical button. [2] Reached via a button that looks like the ai-settings icon from the http://www.androidicons.com/ set.


So you liked that you could customize it to be more responsive to recent weight changes... interesting.

I do also have an advanced settings section for the forecast calculation, but it's good to know there's interest in controlling the MV factors too. Thanks for the feedback!


"Because Convention Man doesn't sound as cool." :-)


> It's also anonymous chat so nobody is embarrassed to ask "stupid" questions.

That's awesome!


Wow, yeah, that's really smart!

(Though, I guess, with a small enough team it probably isn't all that anonymous)


You mean "SOLITUDE"? ;-)


The authors did acknowledge the difficulty of finding twins with different fitness levels:

>The researchers were looking for young adult identical twins in their early- to mid-20s whose exercise habits had substantially diverged after they had left their childhood homes. These twins were not easy to find. Most of the pairs had maintained remarkably similar exercise routines, despite living apart.

And they also highlight that while the genetics and environment play a huge part they don't preclude change:

>More subtly, the findings also point out that genetics and environment “do not have to be” destiny when it comes to exercise habits, Dr. Kujala said. For these particular twins, whether their genes and childhoods nudged them toward exercising regularly or slumping on the couch, one of the pair overcame that legacy and did the opposite (for better and worse).


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