I'm launching
@builtfordevs on Product Hunt tomorrow and doing all the last minute things to improve it. Trying to tell myself that 80% is good enough.
Built for Devs is the result of productizing a service that drove the greatest results I've ever seen in my career. When I brought the right developers in and had them screen record themselves naturally trying the dev tools my clients offered, the results were off the charts good. One client was able to fix just a few areas in their developer experience and ended up being Product Hunt # 1 product of the day and week. Another completely pivoted their business in a better direction from the wider insights they gained from a 10-segment developer pool evaluating their offering for market need. And so many more success stories!
The insights from the developers guided my work for the findings reports that I would write. These reports were juicy. Not just a page or two, but they also weren't exhaustive in a way where it was overwhelming to implement. There were red flags for things that needed to be addressed first. Quick wins for quick opportunities to win with minimal investment of effort. Then there was the story of the entire journey, how developers felt about each stage and the experience they had. The recordings alone provided many of my clients with insights that kept their roadmap full for months.
But they were manual and grueling to facilitate. Chasing down developers is no easy task. My developer network is pretty big, so I had many options, but getting the right developer who was free and still engaging in the communication method we last spoke on was the tricky part.
I knew that productizing the network matching and recordings would be valuable a year ago, but the rest felt more difficult. In February, when I started building this, I realized that we now have the AI tools available to make it completely autonomous. Autonomous was my end goal, why not launch that way? So I did.
Developer network matching product screen recordings & journey event logging script AI analysis of all data points (including videos) AI report drafting. When I first ideated this, there wasn't an LLM for video analysis. And now Gemini handles it. I was able to write a script to capture event logs so we have actual developer actions to go alongside their commentary and screen recording. Providing far greater results than my human eye could ever catch. The data is now rich, so the findings reports are even richer. Actual timestamps when developers start a task and finish them, what slows them down, and why, all in real event logs, and live commentary alongside their visual experience.
Now the script collects developer journey data full-time, not just during evaluations, understanding how real users experience the product.
I'm honestly really proud of this project. This has been two years in the making to reach this point, and it far exceeds what I thought was possible.
builtfor.dev/