Great write up. I worked at a payment processor awhile back, so I really appreciate the complexity of the problem you're tackling.
How are you doing the legal entity resolution? In your example - connecting "AMZN" to "Amazon.com, Inc."
We happen to be solely working on this problem, as it's ridiculously complicated by itself from an global perspective. We're still in stealth and preparing to share something ourselves on HN shortly, but just curious how you're approaching it since your pipeline is already doing a ton.
I know this problem space well. A company I worked for over 10 years ago had a data feed from National Australia Bank (NAB) and matching, categorising and geolocating transactions was an almost daily chore. I would hope by now they're employing something similar to the methodology discussed here.
I commented on this genuinely thinking the article was interesting, enough so that I was curious about the company behind it. It seems the founder is very good at "growth hacking", the majority of their stars on GitHub appear fake and now I'm suspicious about how this article made it to the front page with such little engagement.
I could be completely off base here, but I can't shake the feeling of inauthenticity.
Yes completely off base, we are bootstrapping and sharing literally everything we do on our public profiles on X, it's just me an Viktor building Midday full time, there would be no reason to fake any GitHub stars whatsoever, it's not like that gives more revenue.
Great write up. I worked at a payment processor awhile back, so I really appreciate the complexity of the problem you're tackling.
How are you doing the legal entity resolution? In your example - connecting "AMZN" to "Amazon.com, Inc."
We happen to be solely working on this problem, as it's ridiculously complicated by itself from an global perspective. We're still in stealth and preparing to share something ourselves on HN shortly, but just curious how you're approaching it since your pipeline is already doing a ton.
I know this problem space well. A company I worked for over 10 years ago had a data feed from National Australia Bank (NAB) and matching, categorising and geolocating transactions was an almost daily chore. I would hope by now they're employing something similar to the methodology discussed here.
Interesting write up, thanks for sharing.
I commented on this genuinely thinking the article was interesting, enough so that I was curious about the company behind it. It seems the founder is very good at "growth hacking", the majority of their stars on GitHub appear fake and now I'm suspicious about how this article made it to the front page with such little engagement.
I could be completely off base here, but I can't shake the feeling of inauthenticity.
How did you figure the GitHub stars are fake
Yes completely off base, we are bootstrapping and sharing literally everything we do on our public profiles on X, it's just me an Viktor building Midday full time, there would be no reason to fake any GitHub stars whatsoever, it's not like that gives more revenue.
I desperately want reconciliation available with an integration for Sevdesk. Any plans?
Awesome!
I'm still patiently waiting for the seft-hosting docs.
Cool bro I would definitely like to use midday