Very unfair to call it a knockoff, its waaaay more than that. The OSQA project is awesome, and rick & heranin (devs) are great guys, and always looking for more help. My ex-SE site will be using osqa, or is :) , and I will soon make the final migration soon. If you're local to SF, visit SF Answers! Good job bravura - debug
But, it is a knockoff. They've have copied the look and function of the Stack Overflow sites in detail - INCLUDING the bad design decisions, which is always a clear indication (not that we needed it) of a duplication.
Why does it matter if its a knock off or not. If Stackoverflow can't get this type of deep dive into this community, why can't someone else try. Some times you just have to take things into your own hands. Its Joel and Jeffs fault for not opening their code to others like they said they would...
I fully support the decision to make this site especially if its not around yet.
I am the person that built this site. I wasn't planning on announcing the site yet, until I disseminated it more widely in academic circles, because I wanted to establish a core highly technical user-base, but I guess this is fine. The quality of the users coming from HN has been great.
What people are saying about MetaOptimize Q+A:
Ryan McDonald (Google): "A tool like this will help disseminate and archive the tricks and best practices that are common in NLP/ML, but are rarely written about at length in papers."
Aria Haghighi (Berkeley): "Both NLP and ML have a lot of folk wisdom about what works and what doesn't. A site like this is crucial for facilitating the sharing and validation of this collective knowledge."
I'm targetting machine learning, natural language processing, vision, AI, statistics, data mining, neuroscience, etc. and other data-driven fields. As we've learned from StackOverflow, having a broad topic means that information cross-polinates between groups that don't normally communicate. This problem is particularly acute in academia.
It's a site for scientists to share knowledge and techniques, to document our ideas in an informal online setting, and to discuss details that don't always make it into publications.
Also, I've gotten a handful of job offers through answering questions on Quora. So hopefully this will connect people with gigs they like.
Why should you sign up and post a question or answer?
* Communicate with experts
* Crosspolinate information with experts in adjacent fields
* Answer a question once publicly, instead of potentially many times over email
* Share knowledge to create additional impact beyond conference or journal publication
* Find new collaborators
* Get job offers and gigs
The site is powered by OSQA. (http://osqa.net) I think it's unfair to the core developers to call it a StackOverflow knockoff, given that StackOverflow is---like most software---itself derivative.
Really thank you for that. I was trying to use quora for this purpose, but it's not specific enough. As a machine learning phd student from somewhere far from most good research centers (I'm in brazil, and how many brazillian ML papers have you seen in NIPS/ICML recently?), I struggle a lot with this folk wisdom. Most professors around here haven't really interacted enough with the international ML community to be up to date, and I often find myself recommending papers to my advisor and his peers. This can save me a lot of wasted time and effort; more than once I have spent a couple of months trying to solve a subproblem of an idea I had only to find out it is (a) trivial or (b) impossible with the current state of the art, and being able to find which of these is true in a couple of days does wonders.
I'm trying to disseminate this site to my peers and professors, to see if it will help people around.
- The functionality of Q/A seems to be exactly the same
- The visual design is almost indistinguishable from that of StackOverflow
- The classification of questions (votes/answers/views with tags) is identical
- The badges that users can earn is a blatant copy from SO
- "First time here? Check out the FAQ!". Hmmm, where have I seen that before...?
- etc.
There may be some examples where the derivative vs. knock-off classification is debatable, but here, for me, the answer is clear.
Please note that I'm not making a judgement on whether this is better or worse than SO, and I'm not making a judgement on the skills of the developers. Building something that clearly builds on someone else's work without any attribution that I could see, leaves a bad taste in my mouth.
Unless of course I don't know the whole story and SO ripped of someone else. I'm awaiting enlightenment...
Visually, this site is too much like Stack Overflow, including the things that are not great about SO's design. Including: some fonts are too large, things that are text should be buttons, wrong amount of emphasis is placed upon certain information because the font sizes are wrong.
The site is powered by OSQA (http://osqa.net), a Django/Python Q&A platform. The site is a fork of CNPROG, which was designed to mimic StackExchange.
OSQA is supported by DZone, and the pace of development has been rapid. The core developers have stated on many occasions that they are moving in independent direction from StackExchange.
In particular, because the site is open-source, I can experiment with adding NLP to it. I can improve the Related Questions, I can automatically infer tags, and I can implement techniques for helping you organize and navigate information.
As Chris Manning (Stanford NLP professor) says, Area 51 hasn't gotten any buy-in from the academic community. I have focused on getting academia to be the immediate core of the community, so that the quality of Q+A is high. I am able to do this because of my academic connections.
The last thing we need is NLP and ML people communicating less. That's why my site encompasses all of these proposals, as well as adjacent fields. As we've learned from StackOverflow, having one site for a broad topic leads to cross-polination of ideas between groups who don't normally communicate.
Most importantly, OSQA (which powers my site) is an open platform, built on Django+Python. That comes with all the benefits of open software. In particular, because the site is open-source, I can experiment with adding NLP to it. I can improve the Related Questions, I can automatically infer tags, and I can implement techniques for helping you organize and navigate information.
I am getting complaints that validation email links don't work (they have the subdir twice, as you mentioned), even though welcome email links work just fine.
This is weird because they both use the exact same link in the template:
forum/skins/default/templates/auth/welcome_email.html: <a style="{{ a_style }}}" href="{% fullurl auth_validate_email user=recipient.id,code=validation_code %}">{% trans "Validate my email address" %}</a>
forum/skins/default/templates/auth/mail_validation.html: <a style="{{ a_style }}}" href="{% fullurl auth_validate_email user=recipient.id,code=validation_code %}">{% trans "Validate my email address" %}</a>
Perhaps you could include instructions to remove the extra "qa/" in the mail you send? Ugly, but much better than having the validation link 404 in on the face of new users.
I immediately got a bad impression of the site when I saw the 404.
Jeff/Joel really buggered up. They did a bit of course direction and ended up even further off course. Oh well. The platform is important, but having the skills and personality required to build a bonza community are more important.