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alexcnwy

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alexcnwy
·4년 전·discuss
AiSupervision (YC W22) | Full Stack Engineer | Remote | Full time | https://www.aisupervision.com/careers

We make the operating system to track, manage and improve production in factories with many workers. We automate what the best supervisors would do if they watched everything that’s happening inside your factory.

We are growing rapidly and are looking for an early engineer with strong back-end and python experience to help us design a flexible and scalable architecture to support different factory workflows and deal with the complexity of real-time measurement in factories.

Competitive comp & equity with the opportunity to have a significant impact on tech, product and the way factories are run!

Alex, CTO AiSupervision [alex @@@ aisupervision.com] :)
alexcnwy
·5년 전·discuss
I did the same a few years ago and it's had a huge impact for me too. I use the Microsoft Sculpt ergonomic keyboard and a gel mousepad with my magic trackpad and love it.
alexcnwy
·7년 전·discuss
Super interesting, thanks for the reply! :)
alexcnwy
·7년 전·discuss
Very cool and super inspiring, well done!

Can you give any detail on how you're getting customers... you mention learning google campaign management, is all your traffic via google or have you found any other distribution channels that work (e.g. posting on Fiverr forums yourself kind of thing?)
alexcnwy
·9년 전·discuss
Data transfer between EC2 and S3 in the same region is free but incurs costs between regions.
alexcnwy
·9년 전·discuss
Humans don't run split tests on alternate realities but they can learn from wikipedia alone - I think we just don't know quite how yet.

We need a lot of data currently because algorithms don't generalize like people do.

I'm not convinced you need to be a tech giant to be able to make that breakthrough - I think it's a problem of approach, not a lack of data.
alexcnwy
·9년 전·discuss
I don't know - maybe I'm just irrationally optimistic but I don't believe anyone has "locked up all of the data".

You can download the whole Wikipedia data dump at under 100GB uncompressed (text only - with media is around a TB). The entire common crawl with 3bn pages is only around 250 TB. While the Wikipedia dataset is too large to fit in ram for most people and the common crawl is too big to fit on a single disk, you can process these in your own local cluster quite easily and relatively cheaply.

Honestly I think the real breakthroughs to be made will be algorithmic and I don't believe those are out of reach for "civilians" outside of the tech giants.