snikolic
Truly one of the best artifacts of "the old internet". This gives me nostalgia. So many late nights as a teenager learning about the music I loved that seemed so inaccessible where I grew up. Thank you, Ishkur.
Snopes, in Heated Legal Battle, Asks Readers for Money to Survive
Some gross anecdotes about Bay Area VCs showing naked pictures of themselves, asking about her husband's sexual performance, etc.
(For the record, the company she was trying to fund has been quite successful.)
California Today: Google’s Idea for a New Silicon Valley
The irony is that Rakuten also owns a significant (12 percent?) stake in Lyft. Pretty funny that one Rakuten property was selling data to Uber who used it to hurt a second Rakuten property.
You can think of this as a two step process. First, connecting your Facebook UID to structured data about a specific product in a product catalog. Second, connecting your FB UID to multiple devices/browsers without cookies.
I think the second part (cross-device matching) has been explained well by other commenters: tere are multiple techniques involving IPs, hardware footprints, browser footprints, browsing habits, etc.
I want to clarify a few things about how the first part most likely occurred. There's been a lot of emphasis in discussion on the FB "Like" button. It's true that this is a possible way for FB to observe you have visited a specific webpage. However, it's more likely that there was a Facebook "pixel" on a retailer's website (some commenters have been referring to this as "javascript" or "retargeting"). Most e-commerce sellers use these today. They're basically a FB web endpoint that the retailer can pass structured metadata to that lets the retailer communicate to FB that an event has occurred on their website. FB allows retailers to send all kinds of metadata about all sorts of events - page loads, add to carts, checkouts, purchases, in-app events, and custom events. The retailer can also send very detailed info about the content being interacted with on a webpage, down to sub-SKU granularity (e.g. not just a particular shoe, but a specific color/size/variant of that shoe).
Historically, the FB web endpoint would return a 1x1 transparent image so that a retailer could embed it on their website's HTML and a customer's browser is "tricked" into loading the image from a third-party domain. Thus the name "pixel". This is still frequently done, but nowadays the endpoint may just be a REST endpoint and/or may be called via AJAX (or via an SDK within a mobile app).
Facebook also allows retailers to upload their Product Catalogs to Facebook. These are basically a CSV of structured metadata about every product the retailer has for sale. Then, when the retailer sends a pixel event to say SKU 12345 has been interacted with by a user, Facebook can reference that SKU in the retailer's Product Catalog to learn all kinds of info about it.
A really interesting exercise is to install the FB Pixel Helper extension for Chrome (I'm sure there are equivalents for other browsers). It will show you all FB pixels loaded on a given page and what metadata was passed along. Keep an eye on it as you browse the web, especially the next time you browse an e-commerce website. Facebook basically sees everything that happens. They may as well be ingesting everyone's Apache/Nginx logs. :-P
https://chrome.google.com/webstore/detail/facebook-pixel-hel... (Note: I'm not affiliated with this extension in any way)
Tsunami warning for Fukushima after Japan earthquake
Online ads suck. But advertising keeps the web free (as in beer), and we want to keep the internet free. So rather than hating on advertising, we decided to do something about it.
At SocialWire, we are taking a new approach to advertising: building a recommendation engine for ads. Our system generates product-level ads and hyper-targets them to exactly the right audience. We do this at scale and automatically across a retailer's entire catalog. We want our ads to be so good that people discover interesting products through them, and find them to actually be useful.
We're looking for a full-stack engineer to join our small and talented team. As our fifth engineer, you'll have the opportunity to work on and shape all aspects of our product, from backend Python services to slick dashboard features in JavaScript. We work at the intersection of distributed machine learning and data warehousing, we like to experiment and take risks, and our engineers choose what they build. Most features are live in production just hours after they're completed. We push early and often (with testing and code review!). We ask tough questions. We get shit done.
Super sharp team, early stage company, awesome investors, huge opportunity, beautiful office, and interesting engineering/research challenges. Come join us!
If interested, drop me a line at [email protected]
A few years ago I was backpacking through the Gobi desert and stayed with a Mongolian family. On the floor next to my bed I found a copy of Syd Field's famous guide to screenwriting. Until that moment, I hadn't realized just how widespread this philosophy of storytelling had become.
I know a good number of bike commuters in Boston and we've all gone down at some point, some in worse ways than others, but I don't think anyone has been doored too badly, which was always my biggest fear. In my case, I was hit from behind while riding with my lights on in a bike line (Somerville Ave) and thinking I was hyperaware of the cars behind me (the car drove off, but I'm pretty sure it was a drunk driver from the erratic driving). In a friend's case, a police car without its sirens on in JP blasted through a red light and hit him head on. Both of these accidents and most of the serious bike incidents I know of occurred at night. I'm actually more afraid of darkness than doors nowadays.
Croatia joins the EU
Online ads suck. But advertising keeps the web free (as in beer), and we want to keep the internet free. So rather than hating on advertising, we decided to do something about it.
At SocialWire, we are taking a new approach to advertising: building a recommendation engine for ads. Our system generates product-level ads and hyper-targets them to exactly the right audience. We do this at scale and automatically across a retailer's entire catalog. We want our ads to be so good that people discover interesting products through them, and find them to actually be useful.
With this comes a boatload of difficult data, analytics, machine learning, optimization, and scalability problems. We're formally hiring a full stack engineer, but we'd also love to talk to anyone who writes beautiful python, elegant javascript, or loves to look at data - we're open to contracting/part-time work for the right candidates. On the non-engineering side, we're looking for an "Office Manager Plus" run our office, finances, and HR while shaping and growing our awesome culture.
We have sweet digs in Potrero Hill; we've raised $3mm in seed capital from First Round Capital, 500 Startups, and a crew of other top tier investors; we've got an impressive client list and real revenue; we've got a talented team of hackers, designers, and burners; we've got a bright blue pool table, a fridge full of Pliny the Elder, an airstream trailer full of Stumptown espresso, and all the sushiritos you can eat.
Drop a line to [email protected] and let's chat.
Some press: http://techcrunch.com/2012/11/13/socialwire-gets-2-5m-from-f... http://techcrunch.com/2013/05/02/socialwire-seed-extension-n...