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rigid_airship

rigid_airship on Hacker News

Re:Ask HN: Where Are the SEOs? on Thursday October 21, 2021 @12:22PM (#28946808)
Makes a lot of sense, thanks. And are you typically finding these folks on LinkedIn? Job fairs? Conferences? Meetups?
Re:Ask HN: Where Are the SEOs? on Thursday October 21, 2021 @09:30AM (#28944059)
This makes sense. Thanks for the advice

Ask HN: Where Are the SEOs?

Posted by rigid_airship on Wednesday October 20, 2021 @10:18PM
from the ask-hn dept.

My company has been looking to hire a lead SEO for MONTHS now but it's been incredibly difficult to even find candidates for the pipeline. I'm close to the point of bringing on a technical recruiter but - for obvious reasons - have kept that option as a last resort. Does anyone have any suggestions that have worked for them in the past to find and hire these folks?

( Read More... | 6 comments | 4 points | on HN )
Re:The Top Musicians To Code To on Monday April 21, 2014 @06:03PM (#7624258)
incredible, thanks!
Re:Getting started with Django, Pipeline, and S3 on Saturday April 05, 2014 @01:38AM (#7536101)
fixing this now, thanks for note!
Re:Getting started with Django, Pipeline, and S3 on Friday April 04, 2014 @07:50PM (#7535211)
that looks awesome, definitely going to give it a try. Thanks!
Re:Getting started with Django, Pipeline, and S3 on Friday April 04, 2014 @05:17PM (#7534454)
Yeah absolutely right, I'm just using the pipeline for my static files (i.e. styles, images, js) not for data pages. One more caveat I forgot to put in the post but should be mentioned is the collectstatic command. If you have a huge collection of static assets, collectstatic is painfully slow copying its files directly to the S3 bucket. In my case, I don't have a huge number of assets so it's not a big issue, but if anyone has any ideas for making collectstatic faster, I'd love to hear them
Re:Backstep is looking for a co-founder on Thursday March 20, 2014 @01:39AM (#7434079)
Of course. So a lot of things are in the works right now, but in a nutshell, I'm currently scraping data about (nearly) every taxi company in the U.S and feeding that data into an admin panel which lays out the data in a way conducive to finding items which have been reported as lost in a given geographical area..theres still a lot of work to be done on that front, but that's the core concept...as for scaling, yes I definitely think it has the potential to be globally scalable in the future, but for the moment I'm concentrating on the U.S as a proof of concept...if I can get it working here, though, I would definitely be interested in introducing it globally later.

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