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Trying to triangulate based on where players' eyes are looking rarely works. In many cases, the goalie is looking in a completely different direction than where the ball is. I guess that's why they're getting scored on.

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Don't forget that the ball can come very fast and the keeper will need a split second to adjust. In other cases, the kicker can be masked by another player preventing the keeper to see the ball until very late.

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I'd guess that a pro soccer player is generally looking where he expects the ball to go and not necessarily where it is.

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Any word on integration with Graphite?

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PCP's pmwebd can already export its metrics to Graphite.

http://pcp.io/features.html#analyze http://www.pcp.io/man/man1/pmwebd.1.html https://web.elastic.org/~fche/blog3/archive/2014/06/16/pcp-a...

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That's more a question about Performance Co-Pilot than about Vector. Netflix has another tool they use for collecting and working with time-series data, Atlas- http://techblog.netflix.com/2014/12/introducing-atlas-netfli...

To see how Atlas and Vector fit together, read http://techblog.netflix.com/2015/02/a-microscope-on-microser...

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None that I'm aware of.

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Datafiniti - Data Engineer and Distributed Systems Engineer, Austin, TX

Data Engineer

Data engineers form the core of Datafiniti. You’ll be responsible for turning customer needs into usable data in Datafiniti. You’ll also be responsible for developing tools to help monitor and improve overall data quality. You should be familiar with data structures and basic algorithms, as well as have experience in 1-2 programming languages (Javascript a plus).

Distributed Systems Engineer

As a Distributed Systems Engineer, you’ll be responsible for developing, expanding and managing a highly-scalable architecture that handles our web crawlers, database and other applications. Familiarity with the following technologies will help in this role: Cassandra, Ruby, Erlang (or another functional language), Java, AWS, and Chef.

https://datafiniti.co

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Let us know if you'd like to integrate this with http://www.80legs.com!

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We're experimenting with a new way to power our Datafiniti search engine. Essentially you get paid for running a distributed web crawler through any Chrome Extension.

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Who gets paid? The Chrome Extension developer? But it is the user machine/network performing the work, right?

There is something in this I don't like. Can't quite put my finger on it.

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Our intention is to pay the developer. Of course, there'd be nothing stopping the developer from paying out to users as well.

Happy to get more feedback!

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"Nothing stopping the developer from paying out to users as well" - this is absolutely ridiculous; of course a developer with absolutely no payment infrastructure is going to start relaying these ill-gotten gains back to users. It just doesn't work like that.

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Let us know if you're interested: https://www.datafiniti.net/home/careers

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Austin, TX - Datafiniti (https://www.datafiniti.net)

Datafiniti is the world's only search engine for data. We crawl and index close to 1 million websites each month to create structured, searchable data. Right now we have over 70,000,000 records on businesses, people, and products - and growing.

Build bleeding-edge technology with a team that's all good people. We're looking for experienced or junior-level sales and back-end developers. See https://www.datafiniti.net/home/careers to learn more.

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Datafiniti - Austin, TX.

We're looking for a Sales Engineer and Operations Engineer. Come help us scale the world's first and only search engine for data!

Full details here: https://www.datafiniti.net/home/careers

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Datafiniti - Austin, TX

At Datafiniti, you'll get to work on an absurdly ambitious problem - building the world's first search engine for data. We solve challenges that push the boundaries of what a search engine can do. Here are a few of the awesome things we work on:

  - Managing thousands of cloud nodes
  - Processing content from billions of URLs
  - Automatically converting web page content to valuable data
We're looking to fill roles for:

  - Sales Engineer: work with our clients team to implement customer projects.
  - Data Engineer: improve the coverage and quality of our data.
  - Ops Engineer: improve the scale and reliability our search engine infrastructure.
More details at http://www.datafiniti.net and https://angel.co/datafiniti/jobs/

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Austin, Texas http://datafiniti1.theresumator.com/

We're building the world's first search engine for data at Datafiniti. Work on fascinating problems that involve working with billions of data points, building intelligent agents, scaling out massive data collection, and more.

We have a small, close-knit team that enjoys working and hanging out together. Sending an email to careers@datafiniti.net will go straight to me, the CEO & founder.

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