AlexeyMK

6 ms·

1.
Shouldn't all Engineering run like Growth Engineering?(alexeymk.com)
2 points by AlexeyMK 1y ago|0 comments
2.
by AlexeyMK 2y ago
That is mostly right, with the caveat that customer.io is trying to go upmarket too now. https://playbooks.hypergrowthpartners.com/p/picking-your-lif... I wrote this up about a year ago for a more comprehensive perspec
3.
A Year of Remote Async(alexeymk.com)
1 points by AlexeyMK 2y ago|0 comments
4.
Does remote async work? Reflecting after a year at a company without Slack(alexeymk.com)
5 points by AlexeyMK 2y ago|0 comments
5.
The four kinds of software engineers you'll find at a startup(alexeymk.com)
2 points by AlexeyMK 2y ago|0 comments
6.
by AlexeyMK 2y ago
If you'd rather go through some of this live, we have a section on Stats for Growth Engineers in the Growth Engineering Course on Reforge (course.alexeymk.com). We talk through stat sig, power analysis, common experimentation footguns
7.
Reflecting on my first year as a Growth Engineering Advisor(alexeymk.com)
1 points by AlexeyMK 3y ago|0 comments
8.
Should this be an A/B test? A practical guide(alexeymk.com)
1 points by AlexeyMK 3y ago|0 comments
9.
by AlexeyMK 3y ago
There's a pretty good book dedicated to this exact question: https://unscalablebook.com/
10.
LLM Gotchas(ignorance.ai)
2 points by AlexeyMK 3y ago|0 comments
11.
by AlexeyMK 3y ago
Yes, but it is _rough_. What actually hurts is "browse on mobile, buy on desktop" type behavior. Still worth doing, but you end up needing more black magic than you'd like (IP-based assignment, Ad Network-sourced assignment,
12.
by AlexeyMK 3y ago
Super helpful - looked it up, will aim to apply next time! Curious how the bonferroni correction applies in cases where the overlap is partial - IE, experiment A ran from Day 1 to 14, and experiment B ran (on the same group) from days 8 to
13.
by AlexeyMK 3y ago
Thanks, that is a well reasoned argument! My take is for small n (say 5 experiments at once) with lots of subjects (>10k participants per branch) and a decent hashing algorithm, the risk of uneven bucketing remains negligible. Is my intu
14.
by AlexeyMK 3y ago
Thanks for factorial design! I'll update the post to the proper nomenclature. The frequentist/bayesian debate is not one I understand well enough to opine - do you have any reading you'd recommend for this topic?
15.
by AlexeyMK 3y ago
> Nooo! First, if one actually works, you’ve massively increased the “noise” for the other experiments I get that a bunch at some of my clients. It's a common misconception. Let's say experiment B is 10% better than control bu
16.
by AlexeyMK 3y ago
[Author here] Heh - yes but don't, though... Yes: you could use bayesian priors and a custom model to give yourself more confidence from less data. But... Don't: for most businesses that are so early they can't get enough us
17.
The Greatest Counterfeiter (2021)(guo.io)
124 points by AlexeyMK 3y ago|30 comments
18.
Statistical significance on a shoestring budget(alexeymk.com)
71 points by AlexeyMK 3y ago|34 comments
19.
by AlexeyMK 3y ago
Another option is monetizing via a niche job board for your readers. Pallet.com is good for that - will find companies, etc. Disclosure, tiny investor.
20.
by AlexeyMK 4y ago
Sure, but you need an "undeleted" view per table now - I haven't seen an ORM offer maintaining those views capability out of the box - any to look at?
21.
by AlexeyMK 4y ago
You can get around the "check in every transaction" problem with an ORM, but now you're (more) coupled to your ORM which you will occasionally inevitable need to circumvent for something or other. And now you've made it
22.
by AlexeyMK 4y ago
It's an article on a personal blog targeting a specific readership familiar with the term. More broadly, I think the level of granularity at which it makes sense to define terms (Mesos, Kubernetes, even Uber) has to roughly match the l
23.
Hamtips: I Still Conduct the Tech Phone Screen as the Engineering Manager(alexeymk.com)
1 points by AlexeyMK 5y ago|0 comments
24.
by AlexeyMK 5y ago
This is super well done & polished. Will try out for future blog posts. Thank you!
25.
The Greatest Counterfeiter in the World(guo.io)
3 points by AlexeyMK 5y ago|0 comments
26.
Yet Another Toolset for Tackling Technical Debt(alexeymk.com)
22 points by AlexeyMK 5y ago|1 comments
27.
by AlexeyMK 6y ago
> The truth is, had tech workers actually assumed a significant measure of political influence, and led in local politics, San Francisco would today be one of the greatest cities in the world. But not only was such political influence n
28.
The Emoji Master(ryanjohnson83.medium.com)
1 points by AlexeyMK 6y ago|0 comments
29.
Encapsulation in a Large Rails App with O Microservices or Rails Engines(medium.com)
1 points by AlexeyMK 6y ago|0 comments
30.
by AlexeyMK 6y ago
My mental model lately has been, if I'm enjoying the content, I should try to figure out how to pay ~$1/hour. If I'm not enjoying it, I should find a better way to spend m time.

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