Hey DEV community 👋,
I recently built a side project: A GitHub Actions Cost Calculator. The goal was simple—help devs figure out exactly how much their CI/CD pipelines are burning through their wallets before the actual GitHub invoice arrives.
I coded it, made the UI clean, and deployed it. I was pretty proud of it. Then, I shared the link on a few tech forums and checked my Google Analytics a couple of days later.
The data was a massive reality check. 📉
The Brutal Analytics:
- Total Active Users: 68
- Event Count: 366
- The US Traffic Average Engagement Time:... 2 seconds. 💀
Yes, 2 seconds. People were clicking the link, the page was loading, and they were instantly mashing the back button.
But here is the crazy part: A small segment of users (mostly from India) had an average engagement time of 11 minutes and 14 seconds. They were running massive, heavy calculations.
Why the huge divide? What was making 80% of devs run away in 2 seconds?
The "Zero-Trust" Epiphany
I looked at my UI like a new user and realized my massive mistake. The very first thing my app asked the user to do was: "Upload your YAML file."
I forgot the golden rule of building for developers: Developers are inherently (and rightfully) paranoid.
If you drop a link to a random new tool and ask a dev to upload their infrastructure/pipeline logs, their brain instantly goes: "Nope. Is this saving my data? Is this leaking my workflow to a server?"
Even though my code processed everything 100% locally in the browser, the perception of friction and risk was too high. They didn't have the time to audit my network tab.
The 5-Minute Fix
To fix this, I didn't change the core logic. I changed the UX.
- The Privacy Badge: Added a massive "100% Private - Processed Locally in your Browser" badge.
- The "Lazy Developer" Button: I added a "Load Example" button.
The Challenge for You
If you are building micro-tools, never underestimate the power of dummy data. You have to let users experience the "Aha!" moment of your tool before asking them for their data.
I’m currently testing if this new UX actually converts those 2-second bounces into engaged users.
If you have 30 seconds, I'd love for you to try it and give me brutal feedback on the logic.
Here is the link: githubactionscost.online
P.S. - Do not upload your own file if you don't want to! Just click the "Try with Dummy Data" button and let me know if the cost calculation logic holds up against your own mental math. Let me know what you think! 👇
