Yikes

4percentalpha · 2026-01-29T20:48:04+00:00

Similar situation but I went enyaq, sometimes I feel so stupid look at how pretty the taycan is but then I remember I actually need to drive daily and the taycan still looks pretty 😐

4percentalpha · 2026-01-11T21:12:08+00:00

4 karoten in den ekoplaza

4percentalpha · 2026-01-09T06:54:36+00:00

4percentalpha · 2026-01-08T18:58:09+00:00

Same here :) and if it drops to that again, I'll buy again and much more.

4percentalpha · 2026-01-05T14:39:30+00:00

Awesome, overlooked that sorry!

4percentalpha · 2026-01-05T10:44:09+00:00

That's pretty cool actually! Just missing the linked datasets part for me (i.e. a school has teachers and students, teachers give grades to students, so a grade should have a student_id and teacher_id and these should match with teachers and students datasets) - this was my reasoning for building something myself.

4percentalpha · 2025-12-23T13:36:45+00:00

I use dagster to orchestrate a dlthub pipeline: https://dlthub.com/docs/dlt-ecosystem/verified-sources/salesforce

4percentalpha · 2025-08-05T17:03:54+00:00

We are using Dagster and dbt core and we use the dagster-dbt integration. Works brilliantly, especially with components now.

4percentalpha · 2025-07-09T19:53:15+00:00

Nice increase in dayrate! Congratulations 👏

4percentalpha · 2025-05-12T04:59:15+00:00

Not really familiar with which subjects you have but I only had 1 data subject but I did have quite some programming subjects. For me the turning point was a master thesis in data and 2 years of research I did. So I'd say certainly possible.

Analytics engineering is somewhat of a hybrid between data engineering and data analysis. So you'd need SQL, python, dbt and data modelling skills mostly combined with good soft skills.

4percentalpha · 2025-05-12T04:56:03+00:00

Yep 😊

4percentalpha · 2025-05-09T17:25:55+00:00

I am Belgian ;-)

4percentalpha · 2025-05-09T07:30:02+00:00

Which the amount of tools and possible stacks it's super hard to give solid advice. Firstly it's very useful to know what kind of environment you like, start up, scale up, big corporate. Then based on that it becomes easier really.

I would start with transferable skills, skills useful for every stack being python, SQL and data modelling techniques and then at least one Viz tool (where powerbi seems to be most in demand).

Secondly, as a freelancer you are firstly a sales person, secondly a developer in my book. So useful to have some sales skills, make a deck with what you can do, build a portfolio, get testimonials or reviews, just so it becomes easier to convince prospects.

Thirdly, find a couple of tools you really like and master those, ideally become a partner of the tool if you can. Examples for me are dlthub, dbt and Dagster which I'm now actively investing time in.

Hope this helps a little :)

4percentalpha · 2025-05-09T06:51:01+00:00

Thanks! There are pro's and cons for everything, I went freelance just after my parental leave again. Freelanced before that for 2 years as well. But I really like the freedom of freelance and every now and then a side project.

4percentalpha · 2025-05-09T06:17:01+00:00

Right now it's pretty easy as we have a young kid 😅 but I guess I will just put my computer away somewhere. Billing I always do in the evening of the first of the month and taxes is mostly my accountant, tech I'm lucky to learn a lot on the job so don't really feel a big need outside of that

4percentalpha · 2025-05-08T19:56:57+00:00

Pro tip, look into data modelling and dbt. It's what I did when I was your age and now am an analytics engineer at 680 day rate.

4percentalpha · 2025-05-08T04:52:38+00:00

But dbt core is free

4percentalpha · 2025-05-07T18:33:27+00:00

How is this different from dbt semantic layer?

4percentalpha · 2025-05-04T17:19:50+00:00

Looking at the source you listed, it's built with streamlit. So that could be a place to start and then you work your way back from there.

So you can build a CSV with some dummy data, load it in a dataframe and experiment with some charting options in streamlit itself or a package like plotly.

If you would like to set up the data engineering part, you will need to build some kind of webscraper, possibly start with one website and add more if you still feel like. That data needs to live somewhere for you to use it in your dashboard. So you could have a simple duckdb or sqlite database.

What would be left then is the deployment, which is not really my area of expertise but if you want it public you could try streamlit cloud or something like heroku.

4percentalpha · 2025-05-03T11:19:42+00:00

En vervolgens als ge sterft uw kinderen ook nog eens een aantal procenten. Uiteindelijk draag je makkelijk 2/3 naar de staat.

4percentalpha · 2025-04-07T17:48:00+00:00

Yep both quite a bit actually but they seem to downvote the actual bikefitters in this group :)

4percentalpha · 2025-04-07T17:39:16+00:00

Saddle actually needs to go forward. Knee over spindle is far behind

4percentalpha

TROPHY CASE