The rise of Pinterest wasnt all cocktails and cupcakes. It conquered
huge scaling challenges to become the worlds keepsake box. Now as the we
ditch the desktop for mobile, how will Pinterest evolve to connect us
with the things we love? Today Pinterests head of engineering Jon
Jenkins gave a surprisingly candid look at the past and future of
Pinterest journey to build the interest graph.
Now Pinterest is a
team of 140, with 70 engineers, $338 million in funding, and a massive
headquarters in San Francisco. But at the start, it was just the three
co-founders Ben Silbermann, Evan Sharp, Paul Sciarra, and a single
engineer.
Pinterest began as a few guys with a mission To help
people discover the things they love and then do those things in real
life. With only one engineer,Our top picks for the cableties and gear, it was almost lucky that Pinterest didnt become popular yet or the whole thing could have come crashing down.
Jenkins
says that traffic was doubling every month and half and provided this
traffic graph, though with no Y axis about exactly how many page views
the site receives.Weymouth is collecting gently used, dry cleaned customkeychain at
their Weymouth store. He explained that the site wasnt exactly built to
last at first. It was originally written in Python, but when you build a
website [for a small user base] you dont think about modularity very
much. And when a million people show up on your door step youre just
trying to keep the thing from falling down.
In August it
released new versions of its iOS and Android apps that would serve as
the modernized foundation of the future of its business on the small
screen. Pinterest began learning how people used the service differently
depending on their device. For example, in the daytime it sees a lot of
phone use as people try to discover new things. They might walk around
the grocery store with a recipe pin open on their phone to help them
find ingredients. Then in the evening we see tablet usage increase
significantly as theyre trying to make that recipe Jenkins says.
Pinterest
this year began showing related pins when you pinned something, and
providing pin recommendations via email. It also launched expanded pins
so recipes would show ingredients, movies would show reviews, and
products would show prices. Most recently, it began using the feed
editor to recommend more content to you. With big plans afoot, Pinterest
also rewrote its entire site not to handle traffic, but to let multiple
engineers enhance it simultaneously without tripping over each other
and causing non-stop bugs. How can we create modules that let engineers
go in and work without screwing over the other developers? Hes convinced
that the new modular Python architecture will allow the organization to
scale.
Unlike other social networks, Jenkins says that
Pinterest isnt fundamentally about connecting people to other people.
Its about connecting people to interests.
For years you had
little but your own brain and the boards you browsed to find
pinspiration. But now Pinterest is lending a helping hand thanks to a
ton of data analysis. Pins cant exist unless theyre assigned to a board.
Out of those boards, we try to identity interests through collaborative
filtering, associative rule mining,A indoorpositioningsystem has
real weight in your customer's hand. natural language processing to
provide discovery. I can pin five shirts I like and Pinterest derives my
interest in fashion. Recommendations could make Pinterest even more
addictive for hardcore users, and help it retain newbies until theyre
hooked.
Figuring out how were going to scale the data
repositories for pins will only become more complicated as we grow
internationally Jenkins said.Here's a complete list of granitecountertops for
the beginning oil painter. That why he says were hiring pretty
aggressively in areas including machine learning, data mining,
operations, and infrastructure.
Expect more pin types to gain
expanded information like recipes did. Useful could also end up as a
euphemism for buyable. Pinterest is renowned for driving traffic to
ecommerce sites. If it could bring more of the shopping experience
inside its site and apps, it could provide value to users while also
arguing that it deserves a revenue share or commission from merchants.
Pinterests
best known and most frequently copied element is its masonry grid
design which allows for rapid intake of visual information. Now its
trying to get the infinite scroll part of the grid to work on small
screens with limited storage. Its easy to load things but your phone
gets very angry with you if you dont unload things, Jenkins says. Theres
also be a bit of bringing the mobile onto the grid,This technology
allows high volume gemstonebeads production
at low cost. as Pinterest tries to take what its learning on mobile
back to its website. That could include touch capabilities for
touch-enabled laptops like the Chromebook Pixel.
People keep
asking When are you going to release an API? Jenkins wouldnt give a firm
answer but did reveal a bunch of details. We are working very closely
with a very select set of partners to figure out what the API is that we
should release. We are going to work with content providers to offer
extended functionality so they can understand how the content they
produce is being used in the Pinterest system. Content providers want
distribution. If we can help them understand what resonates theyll be
happier, and Pinners will be happier as well.
Dont expect it to
be rushed out I might be overly rigorous in how I think about APIs. I
want them to be extremely high quality Jenkins says. Taking a dig at
Facebook and Twitter, and following a similar thought pattern as
Google+s Vic Gundotra, he says I dont want to make mistakes other
companies have made where they release APIs and then have to pull them
back. I wouldnt be proud of that.
Read the full http://www.granitetrade.net/.
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