netvarun

Off-topic: The plover.com domain caught my eye. He is the author of 'Higher Order Perl'[1][2], which is to this date, one of my most favorite programming language books I've read and my first (and imho, best) introduction to functional programming. The book is free to download!

[1] http://hop.perl.plover.com/ [2] https://en.wikipedia.org/wiki/Higher-Order_Perl

Shameless Plug: I work at Semantics3 [https://semantics3.com/] - an API for product and pricing data.

These 4 digital assistants should partner with us to help their users find the prices for a pack of Lays chips, iphone, etc. ;)

You forgot to put in the link. I am guessing this is the link:

https://moz.com/blog/mozs-18-million-venture-financing-our-s...

Tldr: it's built using Dhingra et al.'s Tweet2Vec system - https://github.com/bdhingra/tweet2vec to convert tweets into word vectors and then looks at the cosine similarity to find similar tweets of yore

On a related note, you should check out this article which was trending earlier:

"How we got 1,500 GitHub stars by mixing time-tested technology with a fresh UI" https://medium.freecodecamp.com/how-we-got-1-500-github-star... HN Discussion: https://news.ycombinator.com/item?id=14567492

Money quotes are:

"But after looking at the source code we found a fatal flaw in this tool: it used Graphviz — a decades old tool written..."

"...After a little research, we found the best library for the task— Cytoscape.js. ..."

... Although the code was much cleaner, the end-result was much worse compared to the original tool. Completely unusable. It appeared that there is no way for cytoscape.js to have edges that don’t cross nodes. "

"...Don’t judge code by it’s age. Especially if it was written by tech giants such as AT&T Labs"

Turns out drawing/visualizing graphs is a really hard problem!

I can't recommend this series highly enough https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec...

Random thought: Marissa Mayer (who hacker news informs me, just quit her previous job) could potentially be their COO

This link worked: http://www.informationisbeautiful.net/visualizations/maveric...

Is this related/a commercial application of the 'Deep Learning for Program Synthesis' post[0][1] from Microsoft Research on HN a month ago?

[0]https://www.microsoft.com/en-us/research/blog/deep-learning-...

[1]HN Discussion: https://news.ycombinator.com/item?id=14168027

[2013]

For those wondering - here are the list of the papers being retracted: https://link.springer.com/article/10.1007/s13277-017-5487-6

Could you confirm/cite a source that didi owns shares in uber? My understanding was that uber got ~20% of didi shares in exchange for ceding the Chinese market.

Title is obviously a little click-baity. But I can attest that Chris Fralic practices what he preaches.

Back in 2013, yours truly was a fresh college grad, fresh off the boat, to play the SV lottery.

He took an hour long meeting with us, and politely declined to invest and explained his reasoning (probably the only VC who did that and which I really appreciated at that time since pretty much everyone else 'let me circle back'-ed out of orbit).

He could have cut us of there, but he went the extra mile, got us a couple of passes for us to the ChannelAdvisor conference in Vegas that year - through which we ended up getting a couple of customers!

This book is a masterpiece with some amazingly lucid writing. I have spent many hours reading this book just for the prose.

Fun fact: The author is the dean of the University of Texas School of Law - https://en.wikipedia.org/wiki/Ward_Farnsworth IMHO, his chess writing reminds me a lot of pg's writings on startup and tech (and I could only imagine how lucid his legal writings would be)

If you are looking for the deadtree version of this - it's available as a two-part book series on Amazon titled 'Predator At The Chessboard' - https://www.amazon.com/Predator-At-Chessboard-Field-Tactics/...

I was watching the penultimate episode of Halt and Catch Fire Season 3 this morning while doing my morning run at the gym. Towards the end of the episode, Donna faxes over a document about this great new invention, she recently encountered as a VC, called the 'WorldWideWeb' to Joe. Pretty coincidental :) Thanks, Tim!

I was one of their earliest beta customers. Despite the initial quirks, the experience has been nothing but magical. It allowed me to go from code to training/model generation in one command, without any of the devops nonsense to do deal with. While digging into deep learning, I honestly felt that the devops stuff was actually more complicated than the math/backprop/neural nets stuff.

It felt like a Heroku moment for me. They have the potential to do to Tensorflow what Heroku did to Rails. Super simple deploy!

Obviously their vision is much broader (with an entire eco-system/'hub', reproducibility, etc.), but to me atleast the first part is super useful and exciting!

One advantage they have is that GPUs are INSANELY expensive on the cloud - they can actually make it cheaper for everyone with clever binpacking and proper termination.

My advice is that in the initial stage, they should partner with all the Moocs to ensure that all deep learning students are using Floyd. It's cheaper, faster and the students can focus on the science. And they provide, 100 free hours!

Disclosure: I've known the guys for quite a while.

There was a shown hn about 3 months ago for a project somewhat similar to what you are describing - https://news.ycombinator.com/item?id=12848917

This was previously posted slightly over a year ago and had some good discussion - https://news.ycombinator.com/item?id=10686610

For the best offers by category - http://blackfriday.semantics3.com/dashboards/RJ7EP446XUIOLEU...

Really nice to know that someone shares the same sentiment as me!

The TechCrunch writers seem to have gotten the wrong chat platform under Meesho's description.

Empirically I don't know of any friends in India using WeChat. Let alone selling products through it. WhatsApp, however, is omnipresent.

Just checked Meesho's website (http://meesho.com) It only lists WhatsApp as its supported platform.

I up-voted this since I found it really helpful while working through Michael Nielsen's book on neural networks[1]. (I had chanced upon this repo a couple of months ago)

The code is actually based on the original code from the book (e.g.: can be seen from the variable names like 'nabla') , but written in a more succinct manner. Since I am relatively new to Python, I found it easier to follow this repo's code than the code in the book and used it as my reference implementation.

It's missing quite a few things like calculating accuracy, regularization, etc. but they are quite straightforward to implement.

[1] Neural Networks and Deep Learning by Michael Nielsen - http://neuralnetworksanddeeplearning.com

s/Staffoy/Staffjoy/

OT: but it works in India now - no more silly vpns needed. There goes my hidemyass subscription.

Off topic: The attendee list certainly makes this look like the Solvay conference[1] for entrepreneurs and business leaders.

[1]https://en.m.wikipedia.org/wiki/Solvay_Conference

Thanks for posting this. I've always wondered how come we "suddenly" started performing really well in the IMOs.

Considering the fact that until 2011, we had only won ONE gold medal and rarely featured in the top 30.

But from 2011 onwards, have won 10 gold medals and have started to consistently appear in the top 10.

Background: Singaporean who once aspired into getting into the IMO team [this was circa <=2004]. But ended up with a crappy silver medal in the informatics olympiad. Now a washed up, recovering Perl hacker.

There was an interesting article that looked at what the USA Mathematical olympiad trainee candidates in 1980 were doing now (This batch included the famous Noam Elkies) -

http://andrewgelman.com/2015/03/17/1980-math-olympiad-progra...

HN Discussion: https://news.ycombinator.com/item?id=9225683

A bunch of them went into academia, though not necessarily pure math. Some became engineers and only one ended up in finance.

Nothing to be sorry. I learned a lot! Thanks a lot for the article. And also, we are production users of Bud - thanks for that too :)

On a slightly (un)related note, clinkle.com doesn't even appear for me (based in SF) in the first page for a Google search on 'clinkle' https://www.google.com/search?q=clinkle

Another quality open-source project from Mashape! I had written a blog post about ~2.5 years ago on building our own API backed system: http://blog.semantics3.com/building-a-paid-api-offering/

If Kong had been available then, we would have probably gone with it.