Cool tool, I'm also surprised by how different the startup stacks are from the general Internet.
For HSTS, don't forget to check the preload list. Domains under .dev are all preloaded, for example, so they don't need to set the header for HSTS to apply.
Nice one, looks interesting.
I didn't knew that Vercel was so far ahead on hosting.
People don't usually use Cloudflare Pages for hosting? Or it doesn't enter in that metric? https://stackscope.dev/trends/2026/06
For HSTS, don't forget to check the preload list. Domains under .dev are all preloaded, for example, so they don't need to set the header for HSTS to apply.
GET https://stackscope.dev/css/stackscope.css?v=qkmEKPTNqImS7aeD... NS_ERROR_CORRUPTED_CONTENT
GET https://stackscope.dev/css/utilities.css?v=l7--cPr2cfIn6iDRB... NS_ERROR_CORRUPTED_CONTENT
GET https://stackscope.dev/css/page-extras.css?v=m-VKj9bQg7fMpFK... NS_ERROR_CORRUPTED_CONTENT
GET https://stackscope.dev/js/site.js?v=SxUp8zU6gnAArRwBXr22wIBS... NS_ERROR_CORRUPTED_CONTENT
Edit: loosened a cf rule, should be good now.
I'm a little surprised you can't see the analysis for StackScope itself!
Also, it'd be interesting to see the trend of vibe score over time.
I will include a vibe score trend in the next blog post.
I've been doing the same bit wider scope, for the whole Crux list, pruned to apex domains, and looking for CMS signals - how's your throughput?
I'm not doing any headless browser stuff, or many requests, so hyper optimised for speed.
I do grab robots.txt - didn't really see much in llms.txt or humans.txt in the wild, does yours?
I'm seeing about 6.6% block rate, but that does climb over time.
Fab project otherwise!
Overall this looks solid