sjwhitworth

20 ms·

61.
A Notion Setup for Productivity(stephen.sh)
2 points by sjwhitworth 6y ago|0 comments
62.
How to use an iPhone as a webcam(stephen.sh)
1 points by sjwhitworth 6y ago|0 comments
63.
Why is dbt so important?(stephen.sh)
2 points by sjwhitworth 7y ago|0 comments
64.
Local Overconfidence(stephen.sh)
3 points by sjwhitworth 7y ago|0 comments
65.
by sjwhitworth 7y ago
Sorry, I do need to set this up. It's just a bunch of Markdown at the moment. Thanks for reading!
66.
Beware the Mean(stephen.sh)
94 points by sjwhitworth 7y ago|36 comments
67.
Local Overconfidence(stephen.sh)
1 points by sjwhitworth 7y ago|0 comments
68.
Why is building machine learning systems so hard?(stephen.sh)
3 points by sjwhitworth 7y ago|0 comments
69.
Full Stack is more than Front end: Every engineer needs to be a DevOps engineer(syslog.ravelin.com)
11 points by sjwhitworth 7y ago|1 comments
70.
The mechanics of migrating Monzo to dbt(youtube.com)
1 points by sjwhitworth 7y ago|0 comments
71.
Why do we test software?(stephen.sh)
1 points by sjwhitworth 7y ago|0 comments
72.
by sjwhitworth 7y ago
'I am deliberately ignoring techniques that require significant effort, or large changes to program structure.'
73.
by sjwhitworth 7y ago
There's a little at the bottom that encourages caution. In a previous draft, I wrote about the importance of proving hot spots before optimising, but took it out as I wanted this to be more a list of techniques. On sync.Pool: good spot
74.
by sjwhitworth 7y ago
Good point. Here's one off the top of my head: a giant map that caches some count by date. You can represent this as a map[time.Time]int (native Go time type), a map[string]int (time represented in some string format), or a map[int]int
75.
Simple techniques to optimise Go programs(stephen.sh)
273 points by sjwhitworth 7y ago|83 comments
76.
Ravelin launches graph DB as service(twitter.com)
2 points by sjwhitworth 8y ago|0 comments
77.
Further Dangers of Large Heaps in Go(syslog.ravelin.com)
2 points by sjwhitworth 8y ago|0 comments
78.
So, just how fast are Go channels anyway?(syslog.ravelin.com)
2 points by sjwhitworth 9y ago|0 comments
79.
You probably shouldn't use DynamoDB(syslog.ravelin.com)
2 points by sjwhitworth 9y ago|0 comments
80.
A profiling adventure to speed up Go(syslog.ravelin.com)
3 points by sjwhitworth 10y ago|0 comments
81.
by sjwhitworth 10y ago
https://groups.google.com/forum/?fromgroups#!topic/golang-de...
82.
Powering real time fraud detection with BigQuery(syslog.ravelin.com)
2 points by sjwhitworth 10y ago|0 comments
83.
Mondo raises £1m in 1m 36s(twitter.com)
5 points by sjwhitworth 11y ago|0 comments
84.
Scaling a startup using DynamoDB(ravelin.com)
3 points by sjwhitworth 11y ago|0 comments
85.
Detecting online fraud networks(ravelin.com)
11 points by sjwhitworth 11y ago|0 comments
86.
Banking APIs, or, how fraudulent are you?(stephenwhitworth.com)
29 points by sjwhitworth 11y ago|3 comments
87.
by sjwhitworth 11y ago
Blame the lack of competition in the international payments system I guess.
88.
by sjwhitworth 11y ago
We at Ravelin ( https://www.ravelin.com ) are building solutions to stop this. Still surprises me how many people think banks/schemes are responsible for CC fraud, when it's actually the merchant that gets punished. And
89.
by sjwhitworth 11y ago
Ravelin [ https://www.ravelin.com ] | London, UK We do real time credit card fraud prevention for online merchants - specialising in the on demand economy, ala Uber/Hailo/Deliveroo/Postmates where low latency decisi
90.
Plod – A simple distributed web crawler in Go(stephenwhitworth.com)
1 points by sjwhitworth 11y ago|0 comments

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