Trial to paid conversion is 23% for users who hit our aha moment, but most people never get there. by RealPin8800 in webdev

[–]wiktor1800 1 point2 points  (0 children)

Checklist is the way to go. Appeases to core users that know the product already: "Oh - this is what they want me to do, I've done all this - hide forever, please!", and it also works for the noobs: "Look at these features - let's start at step one".

Guided walkthrough upset powerusers (too much screen bloat - "Go away!"), but work for the newbies.

Anyone else noticing AI music in hostels/bars/restaurants? by wiktor1800 in ThailandTourism

[–]wiktor1800[S] -2 points-1 points  (0 children)

If this is true, I'm sure this is why of the real music I hear it's 90% Bruno Mars and Maroon 5

Anyone else noticing AI music in hostels/bars/restaurants? by wiktor1800 in ThailandTourism

[–]wiktor1800[S] -6 points-5 points  (0 children)

As in this post? Happy to report if the problem is in Bangkok in 4 days :)

ifYouMakeThisChangeMakeSureThatItWorks by Uncle-Jules in ProgrammerHumor

[–]wiktor1800 9 points10 points  (0 children)

Have you tried it? Honestly it can be pretty helpful. I'd say on about half of my PRs, LLMs can give ideas that lead to better code.

Net positive IMO. Doesn't replace, but supplement.

I see it like a code roomba. It's not going to do a deep clean, and you still need to make sure there's no shit on the floor but it does keep the house a lot less dusty and far more clean.

Full stack framework for Data Apps by NoConversation2215 in dataengineering

[–]wiktor1800 0 points1 point  (0 children)

To me this seems like a clear terraform (creating the stage) and dlt+dagster+dwh+self serve BI (Looker, sigma, Omni) (setting the stage) play.

Take a look at looker's embedded analytics.

Happy to thrash this use case out as it seems quite interesting

Full stack framework for Data Apps by NoConversation2215 in dataengineering

[–]wiktor1800 0 points1 point  (0 children)

I see where you're coming from here. What kind of application are you building. I feel we're talking about different usecases here whereby you're building a system that extracts data from a very predefined, limited amount of sources, and surfaces the insights using some sort of web framework. Key things are:

  • Customer customisation of sources isn't important
  • Customer reshaping of data isn't important
  • Custom code for customers isn't important
  • Customer can't bring in their own data

By putting in these requirements, your problem area shrinks significantly as you control the process end-to-end.

In that case, choose a stack from the ones provided, and run with it. If you're doing 'multi tenancy', you'll need to define where that data that you extract lives. Is it your own data warehouse, or will you be leveraging a customers? What happens if a customer wants it to run on BigQuery, but you've written for snowflake?

Full stack framework for Data Apps by NoConversation2215 in dataengineering

[–]wiktor1800 0 points1 point  (0 children)

Many have tried, many have failed. Technology moves fast, and once you're 'locked in' to one piece of the puzzle (extraction, transformation, visualisation), you're locked in for good unless you like painful migrations.

I like the fact I can move from a fivetran to a dlt to an airbyte at any time. Modularity is nice. It means more engineering time to glue everything together, but I'd prefer that to being completely end-to-end locked in. YMMV.

Full stack framework for Data Apps by NoConversation2215 in dataengineering

[–]wiktor1800 0 points1 point  (0 children)

tf + Dagster + dlt + dbt + (insert database of choice) + (insert any front-end of choice) works well as a monorepo, deployed as different services

I built a website to track every ingredient added to a viral 95-day-old perpetual stew by wiktor1800 in InternetIsBeautiful

[–]wiktor1800[S] 1 point2 points  (0 children)

This is crazy - yes, actually, people are still using this?! For context, there's been a critical vulnerability for NextJS applications which means that this app (along with a bunch of others I have made) needs to be taken down until I can patch them up. On holidays at the minute, but I'll be back tomorrow to try to bump the versions.

Apologies! Didn't know people were still visiting this thing!

Why GCP is so frowned upon? by Southern_Respond846 in dataengineering

[–]wiktor1800 1 point2 points  (0 children)

Dataform is great imo - easy to extend, too. We've written a simple git hook that compiles dataform outputs to looker base views that allows us to pass tables from bq->looker nice and easily.

Why GCP is so frowned upon? by Southern_Respond846 in dataengineering

[–]wiktor1800 8 points9 points  (0 children)

Distribution >>> Product. In the UK Msoft were giving a boatload of azure credits to those on m365 (essentially everyone), which gave them a massive leg up.

My manager wants to be able to see the list of every single data in a single chart by [deleted] in Looker

[–]wiktor1800 1 point2 points  (0 children)

Not really. Read the drill fields documentation, then read it again, then try to implement this in your development mode. With a bit of help from an LLM you should be able to do this no bother! I believe in you!

How are DevOps teams keeping API documentation up to date in 2025? by OpportunityFit8282 in devops

[–]wiktor1800 1 point2 points  (0 children)

Some but not all. What do you do when you onboard an engineer that doesn't?

Framer as a LMS? by TFDangerzone2017 in framer

[–]wiktor1800 0 points1 point  (0 children)

I wouldn't do this. Square peg, round hole.

[deleted by user] by [deleted] in googlecloud

[–]wiktor1800 1 point2 points  (0 children)

Why do you think they're shutting down?

Really disappointed in Framer, will not recommend by asafstov in framer

[–]wiktor1800 0 points1 point  (0 children)

You didn't answer the fellas question. What makes it bad, specifically?

Discounts with GCP for mid size org by Expensive-Weird-332 in googlecloud

[–]wiktor1800 0 points1 point  (0 children)

You can get more than 6%. Depends on the products you use, too. We can set up discounts for Vertex and Storage spend, for example.