arthurcoudouy

My primary guess would be that it's easier to earn your first dollars with fans vs. with B2B sponsorships (or even with retribution from platforms like YouTube). Also, I don't really understand the term illusion in the image if someone could help. 5% conversion from content consumer to "paid fan" does not seem that low

It may be a stupid question but why did you strike through 2022 and 2023? Did you create it in 2022 and maintained it since or is it a recent project?

Did you build this to solve a specific issue?

I can relate. I've had trouble finding a well-designed screenshot tool for Windows, while Mac users have plenty of options. It seems like most local-first apps are built by indie hackers, who are more likely to use Macs over Windows machines. On the other hand, it seems like startups tend to focus on developing web-based applications for wider distribution.

Apologies for my late answer by wanted to circle back to thank you, you answered most of what I was looking for.

I'm trying to know when specific subjects are being discussed.

Thank you for the suggestion! Will do

I did reference this in the article.

> The DORA (DevOps Research and Assessment) framework introduced some metrics to track team flow, such as deployment frequency, which measures how frequently an organization successfully releases to production, and lead time for changes, which measures how long it takes a commit to reach production. If you're interested in the DORA framework, we published a dedicated article on How to implement the Four Key Accelerate DevOps Metrics.

I can't agree more with you. I tried to sum my thoughts in my first reference

> One of the most common myths — and potentially most threatening to developer happiness — is the notion that productivity is all about developer activity, things like lines of code or number of commits. More activity can appear for various reasons: working longer hours may signal developers having to "brute-force" work to overcome bad systems or poor planning to meet a predefined release schedule.

The SPACE framework is not about measuring quantitative data only. I feel the need to explain how certain metrics might be interesting, but rather to identify key issues or unexpected events during engineering sprints. Without data analysis, you would not be able to understand why there is a drop of productivity during certain periods, and usually, those drops were created by the management (too many meetings or lack of follow-up)