Hakka Labs
hakkalabs.co · Company blog · on HN since 2013
The blog of Hakka Labs, a site for software engineers that posts talks and articles on Go, distributed systems, and engineering leadership.
What HN saysHN links it for conference talks, such as how RethinkDB works, and Go performance writeups; one speaker objected to the site's logo overlay on a video.
47HN people shared it
7linked it in comments
94stories submitted
324story points
11 years agolast shared
2013people per year2026
Most-shared posts
- 1Hakka Logs4 people · 5 points · first shared 2014 · 1 comments on HN
- 2Climbing Off the CTO Ladder (Before We Fall Off)2 people · 10 points · first shared 2014 · discussion on HN
- 3Optimizing Go: from 3K requests/sec to 480K requests/sec2 people · 5 points · first shared 2014 · discussion on HN
- 4Deep Learning: Machine Perception and Its Applications (Deeplearning4j)2 people · 4 points · first shared 2014 · discussion on HN
- 5Front end code in Go: How to get started with GopherJS2 people · 3 points · first shared 2015 · 3 comments on HN
- 6Building Distributed Systems with Go and Mesos2 people · 3 points · first shared 2014 · discussion on HN
- 7Stream Multiplexing in Go2 people · 3 points · first shared 2014 · discussion on HN
- 8Using GoLang for Statistical Programming2 people · 2 points · first shared 2014 · discussion on HN
- 9Homepage2 people · first shared 2014
- 10NoSQL in SQL1 people · 35 points · first shared 2014 · 19 comments on HN
- 11How We Use Docker (And Why We Can’t Live Without It)1 people · 24 points · first shared 2014 · 2 comments on HN
- 12Deployment Tools and Techniques at Spotify1 people · 15 points · first shared 2014 · 1 comments on HN
- 13Spotify's Ad Targeting Infrastructure [video]1 people · 14 points · first shared 2014 · discussion on HN
- 14Big, Small, Hot or Cold - Data Pipeline Examples at Stripe, Tapad, Etsy, Square1 people · 12 points · first shared 2014 · discussion on HN
- 15Compiling Brainfuck to Java, in Brainfuck1 people · 12 points · first shared 2014 · discussion on HN
What HN people wrote when they linked it
geweke · 2014-06-13
Thanks so much for replying. My concern wasn't about permission -- I'm far from protective of my talk; hey, more distribution is great! -- so much as it was the appearance of the site. (And even the video -- you overlaid your logo on every frame of the video.)
To me, http://www.hakkalabs.co/ looks a great deal like a blog. When I see a blog -- particularly with a name and photo of the author on an article -- I naturally assume that author either created that content specifically for that blog, or authorized/contributed that content specifically to that blog. If that's not the case, I think the blog needs to make it very clear that they are republishing content taken from elsewhere, without the author's knowledge. There's nothing wrong with that (assuming you have permission); it's just about making it clear that that is what's actually happening.
(Underneath, it's about the perception that I am somehow "contributing to" or "endorsing" Hakka Labs by posting content I created there. I'm not saying anything bad about Hakka Labs at all -- I simply don't know enough to judge either way! -- but IMHO it's not cool to create that perception without the author's knowledge. It'd be like a startup GitHub clone suddenly hosting my open-source code under an 'ageweke' account with my name and photo: while they absolutely have every right to do that according to the licenses involved, it gives the perception that I'm a user of their site and uploaded my code there...when, in fact, I've…
ezrameanshelp · 2014-03-28
Sounds interesting. May want to check out what these guys are doing for collaboration and ideas: http://www.hakkalabs.co/
petesoder · 2013-12-16
Very cool. Congrats, guys! This was a great talk - http://www.hakkalabs.co/articles/how-rethinkdb-works/
mateodelnorte · 2015-01-01
Electronifie
NYC. Open Source Loving Node.js Fanatic Engineer
http://bit.ly/13rU1dp
We're building the world's first corporate bond trading platform written in Node.js. Why is that interesting? Turns out the corporate bond market is a 10 Trillion dollar market that still works like it did in 1978, with traders calling each other up on the phone. Modernization in equities never made it to the bond market, all the biggest players are calling for new solutions (http://bit.ly/1tLXFZq), and that's exactly what we're building. The incumbents in this space are big, slow moving enterprises with six to twelve month release cycles and a fear of Open Source software. We use cutting edge tools push out updates and new features within days and are releasing our own tools back to the community: https://github.com/electronifie, https://hakkalabs.co/articles/eventually-consistent-distributed-system…
Want to solve amazingly exciting problems with a small team of very experienced engineers? Want to help disrupt FinTech by leveraging OpenSource tools and running circles around the competition?
Come join us.
Kinnard · 2015-09-10
It'd be cool if this pushed to slack or something like that or anywhere really. Like a daily commit.
Sort of like what hakka logs used to be:
https://www.hakkalabs.co/logs/
"Log anything that has to do with building software or a software business. Are you learning a new language? Log it. Debugging that side project? Log it. Adding features to your killer startup? Log it. Be as specific as you like. The more specific you are the more specific your matches will be."
shurcooL · 2015-03-25
You can use Go and compile it to JavaScript. I've been doing that the last year.
I gave a talk about it recently if you want to see.
https://www.hakkalabs.co/articles/getting-started-gopherjs
agibsonccc · 2014-06-21
What would you like to know? I assume you've already seen the hinton coursera class[3]?
Disclaimer: author.
I put some hints in to practice here in my framework[1].
This is generally applicable to any neural network.
My live talk that I gave just recently[2] goes in to practical ways of training neural nets without a lot of the math behind it (more just: do this and you get this effect)
[1]: http://deeplearning4j.org/debug.html
[2]: http://www.hakkalabs.co/articles/practial-deep-learning-tutorial-deepl…
[3]: http://coursera.org/course/neuralnets