I launched two projects. 1) http://instant10-k.com/ An efficient way to search 10-k and 10-q filings for publicly listed companies. A Form 10-K is an annual report required by the U.S. Securities and Exchange Commission (SEC), that gives a comprehensive summary of a company's financial performance. 10-Q is the quarterly version. If you have ever purchased an individual stock you should read the 10-k and 10-Q reports.…
Ask HN: What did you work on in 2017?
551–560 of 583 posts
Re: Ask HN: What did you work on in 2017?
#552Much more VR than I expected to, and it was more interesting than I expected as well.
What sort of VR stuff we're you getting into, if you don't mind me asking? It's a pretty cool space, but I don't see to many people playing in it (maybe because of the barrier to entry).
Re: Ask HN: What did you work on in 2017?
#553Earlier quoted context omitted.
> all the holes that were black boxed to me in my engineering growth What were the holes that black-boxed you in your engineering growth?
Here are a few off the top of my head. 1. Servers. I've always 'pushed to heroku' without really knowing how servers worked. 2. Git. I've always just used gitlab or other git hosting services without knowing how to build it. 3. File hosting. I've always just uploaded files without knowing how files are processed / stored. 4. Email. SMTP is like a big unknown, I've never really cared about how emails worked. 5. SSL. T…
a lot of these seem devopsy. I've definitely delved into a lot of these as an extracurricular activity over the years or have had to learn for work reasons (like being the only guy willing to take on the devops type work) but I'm not sure it belongs in a boot camp type curriculum.
Re: Ask HN: What did you work on in 2017?
#554I spent most of the year working my ass off consulting for one of America's most hated companies building an utterly pointless system. My only consolation is knowing that I wasted a ton of their money since there's no chance it will pay any returns.
Re: Ask HN: What did you work on in 2017?
#555It's still in baby steps, but I'm already building my personal website using it (so I can see what features I'm still missing), then I plan to build a starter theme and in the end official site.
If You're interested, You can see the actual code here: https://github.com/mrmnmly/raita
Re: Ask HN: What did you work on in 2017?
#556At the end of 2016 I left contracting gig for a full time position to work on helping solve intermittency problem with solar PV power generation through forecasting. With a team of 3 including myself, the only professional software developer, we have launched and run a solar radiation and PV power forecasting/observation API (solcast.com.au) that can provide solar radiation and PV power forecasts world wide that upda…
What model do you use for power forecasting? Do you use different models for different forecast horizons e.g 1h, 1day, etc. or did you find that (recursive) multi step forecasting with the same model produces better results?
Solar radiation forecasting incorporates a few models for 1-7 days, and for now casting (0-4 hours) is based on NWP wind forecasting combined with our own cloud tracking, ML and blending with NWP models from 4-24 hours.
Some of the above might be slightly off as I’m not a meteorologist or study solar radiation modelling. Luckily Solcast founders are and we are also partnered with a project at the Australian National University working with some extremely bright people to get the science right.
If you want to get further into the details, feel free to email Nick Engerer or James Luffman (contacts on our website) about the science, or post on our community forums (forums.solcast.com.au).
Re: Ask HN: What did you work on in 2017?
#557Usability Testing Exchange — where other people will do usability testing of your website, for free, and give feedback to you. You give feedback to others too, and get back as much feedback as you give, counted in characters. https://usability.testing.exchange And EffectiveDiscussions, a discussion forum that brings together the best from Slack, Discourse, StackOverflow, HackerNews, Disqus. https://www.effectivediscu…
Awesome concept on usability testing exchange! This reminds me of the interviewing.io model, which I also highly regarded. I think this sort of karma-enforced-sharing model could work in a lot a fields, but the big disadvantage I anticipate is not having any experts in the mix. Do you have any ideas for how to minimize this disadvantage?
Maybe there could be some "high score" list, showcasing the people who have contributed the most, and also have given a high ratio of Like-vote-upvoted feedback. Then people might want to contribute, and include the high-score-presence in their resume / online portfolio.
Or maybe some people to via sth like Patreon would want to pay talented people in low-living-cost-countries, to spend some of their time at Usability Testing Exchange, helping others.
Do you have any thoughts about this or additional ideas? :- )
Re: Ask HN: What did you work on in 2017?
#558I quit what many would consider a successfull job in programming and had a sabbatical year. Moved to a smaller town and down sized everything in spending to the point where I pay $600 per month for housing, food and bills, so living of my savings haven't been an issue at all. I have focused on things like reading (read +40 books in 2017, up from 1-2 per year), wood working, sketching, running and skiing. To keep up m…
Re: Ask HN: What did you work on in 2017?
#559Spent the last 9 months on a startup I co-founded, https://carbonstate.com We are producing an ECM system aimed at the SMB market. The short feature list is: - Configuration driven; no coding required to create management systems - Complex schema support ( nested and linked types ) - Automatic data entry/modification form creation - Workflow support - Compiled templating with fragments and support for reverse proxy c…
Re: Ask HN: What did you work on in 2017?
#560Human computation! Not to be too #hailcorporate, but my job's pretty fun. It's using machine learning and humans together to solve problems. The fields pretty focused on labelling tasks, but there's much more to it. Having a large human workforce backed by a bunch of engineers and data scientists is like a fast-forward button on machine learning. You use humans and computers together to do things we really can't auto…