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Scaling lessons learned at Dropbox, part 1

eranki.tumblr.com

GeoIP for mapping IPs to locations. We eventually ended up converting everything to SQLAlchemy’s lowest-level language for constructing SQL (one step away from raw SQL). S3/EC2 for storing and serving file blocks. memcached in front of the database and for handling inter-server coordination. nginx for the frontend server.

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A Quick Primer on B2B Conversion Optimization

ConversionXL

So the process in B2B looks a bit like this (simplified): Visitor → MQL → SQL → customer. But in an account-based marketing thing, you might even want to throw up some things like Demandbase on the high end to LeadLander on the low end that do help you resolve IP addresses into companies, so you know which companies hit your website.

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How To Bootstrap Your Startup

www.readwriteweb.com

Our development was a particularly complicated build requiring 5 developers, a systems architect, an html coder, a SQL specialist, 4 testers, 2 designers, a graphic designer, a project manager and a security specialist. But producing a professional and slick product costs money. I can’t wait to read the rest of the series!

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CEO Friday: Why we don’t hire.NET programmers

blog.expensify.com

If someone comes to you with Ruby on Rails experience, do you assume they are ignorant of SQL? I learned C# and.NET (along with HTML/CSS/JS/SQL/etc) because that’s what they used. there are start ups who are legitimately using.net because they don’t need to look directly into the tcp/ip stack. Matt Sherman.

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Startup Resources

www.vccafe.com

IP Location Tools. SQL database hosting from browser.Python/Javascript APIs. British Library Business & IP Centre : Funded by the London Development Agency, the British Library supports inventors, small businesses and entrepreneurs from that first spark of inspiration to successfully launching and developing a business.

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Digital Elite Camp 2019 Recap: Takeaways from Every Speaker

ConversionXL

If you collect proper data in Google Analytics, you can tools like Tableau, MS SQL server, and R to do deeper analysis. Debugging tip: look at session distribution report, filter to users with lots of sessions and high repeat sessions, get clues from network, hostname, bounce, browser, geo-IP, resolution.

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