we're (re-)building a platform for virtual art fairs in the wake of coronavirus — most fairs and galleries are cancelling or postponing events that will work super well online. We're building a novel experience from the ground up, not relying on VR or skeuomorphic interactions
Since fraud detection is done on-device, is there any clever encryption or security features that stop me from issuing a direct API request to the service with my (or someone else's) credit card info? If not, I'm worried that a technical fraudster could script their way around the ML model (and therefore not need the physical card), especially since cc lists are already nicely formatted. This would hurt pretty badly if the service assumes that DyScan is infallible and then doesn't have mechanisms for detecting fraud post-signup.
I second the references to "Mastering Bitcoin", and also add my blog post "Getting up to Speed on Ethereum" [1] that takes you from "I kinda understand bitcoin" to "I understand ethereum at a deep level and know about the big projects being built on top of it" over a few days.
1000 uniques/month on average, not including when I post the site on hacker news. The clickthrough/conversion rate is pretty solid. 35% of users buy something after clicking through to Amazon, which makes sense cause it's a pretty strong signal of intent.
I have, but the API differs in availability/completeness across regions and writing the code to handle each region probably isn't worth the time. The Product Advertising API is also _terrible_ and not fun to work with, so I'm minimizing the amount of time I spend working with it and reading their docs.
It shines when you search for something that you want the best version of, without caring about the details; i.e., let the masses determine the quality for you. It weights results based on ratings, review volume, and some other stuff, segmenting the results by price range.
Helps me answer the question "I want the best phone mount for my bike, but I don't want to spend more than $20" without fiddling with Amazon's search parameters and then scanning the page.
There's also Comedy Hack Day [1], my personal favorite hackathon(s) of all time. I've been to 4 so far and have flown across the country just to participate over and over again.
I went to Slidell High; the other Google intern went to Northshore. And now one more from Slidell. I love how the internet brought us all together even though we were previously so close but didn't know it.
Slidell. I went to school at LaTech for a year and a half. I I recently found a fellow Google intern who's from Slidell as well, but we'd never met previously because we went to rival highschools.
I interned at Grooveshark two summers ago; Josh incredibly changed my life for the better. The Summer with the Sharks program was transformative and catapulted me out of Louisiana and into the world of tech. He's such a happy and charismatic personality; the company outings, like going to Disneyworld, are some of my best memories.
Talk about a life gone too soon. I'm pouring one out for Josh tonight.
I can confirm that FishPlaysPokemon uses OpenCV. There's a wealth of knowledge and tutorials, so if you just want to isolate certain color ranges (what they're doing), I guarantee there are tons of resources. There's also Python bindings to make things even more friendly. After that, it's some simple math to figure out which quadrant it's in and then trigger the correct button press.
It's slow to load at the moment, so I'll describe what it does.
PennyWhale lets you search, manipulate, and compare financial data with natural language queries along the lines of "how much cash does $GOOG have" and "show me the PE ratio for $AAPL".
https://www.youtube.com/watch?v=QZ1KNP_R76c
https://github.com/shrugs/asdfghjkl