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md2rp commented on Ask HN: How do you collect and analyze user feedback for your SaaS platform?    · Posted by u/md2rp
ogarten · a year ago
I am not running a SaaS Platform but I have tried to start several startup so I do have some experience but take it with a grain of salt.

All SaaS that I have seen have some sort of user tracking (mixpanel, amplitude, posthog, ...) which tracks pretty much everything that users do. This can be done completely server-side since you can track all API calls and attach some user metadata to them.

With client side tracking you can do even more, especially when it comes down to UI optimization. Not too big of a fan of that to be honest.

Besides that, user interviews are always great and as a CEO or product manager I would also make an effort to talk to users and take time to gather feedback and just listen to their problems. Staying close to your users is important. Who doesn't like to be heard? However, it's one of the things a lot of startups struggle with or don't see the value in.

Last but not least, if you have only a few users talking to them is the most important thing. Analytics only really work when you user base is large enough. The way to go is to define a set of funnels (what do you expect users to do in what order) and see if these funnels work. Besides that, there needs to be some kind of funnel discovery (what are your users actually doing in what order). The second one if important because it tells you a lot about intentions and gives you a great idea of who to talk to.

md2rp · a year ago
Thanks for the reply!

>Analytics only really work when you user base is large enough. Yes I guess that statement really is true!

md2rp commented on A Visual Guide to Vision Transformers   blog.mdturp.ch/posts/2024... · Posted by u/md2rp
bArray · a year ago
Nice! A small piece of feedback: I would have the dimensions mentioned in the text also annotated on the diagram. It wasn't exactly clear how the input data was flattened for example.
md2rp · a year ago
Thanks for the feedback! Will add it in the revision!
md2rp commented on A Visual Guide to Vision Transformers   blog.mdturp.ch/posts/2024... · Posted by u/md2rp
byteknight · a year ago
Would also add, as a 100% math idiot, linear transformations, and how it performs them is not explained.

Entirely plausible this is intended for someone more "mathmatical" than myself but appreciate the work regardless.

md2rp · a year ago
Thanks for the feedback! I left it out intentionally but probably worth thinking about doing a more fundamental guide!
md2rp commented on A Visual Guide to Vision Transformers   blog.mdturp.ch/posts/2024... · Posted by u/md2rp
challenger-derp · a year ago
Very nice. I wish I could do this sort of scroll story in my digital notes. Is this done with a javascript library?
md2rp · a year ago
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/
md2rp commented on A Visual Guide to Vision Transformers   blog.mdturp.ch/posts/2024... · Posted by u/md2rp
md2rp · a year ago
A Visual Guide to Vision Transformers This is a visual guide to Vision Transformers (ViTs), a class of deep learning models that have achieved state-of-the-art performance on image classification tasks. Vision Transformers apply the transformer architecture, originally designed for natural language processing (NLP), to image data. This guide will walk you through the key components of Vision Transformers in a scroll story format, using visualizations and simple explanations to help you understand how these models work and how the flow of the data through the model looks like.
md2rp commented on Show HN: Ranking ML conference papers based on their citation count   mdturp.github.io/highest_... · Posted by u/md2rp
md2rp · 3 years ago
Hey everyone, I built this little website that keeps an updated ranking of scientific papers published at the ICLR, ICML & NeurIPS conferences (2017-today) based on their citation count.

Hope it can be useful! Please let me know what you think :)

PS: You can also find some additional details about the project in this short article: https://mdturp.ch/highest-cited-ml-conference-paper/

u/md2rp

KarmaCake day97August 29, 2022View Original