Section Design Library

The bands real pages are built from

5,217 sections captured and categorized, from 1,968 funnels x-rayed.

Section

Showing 24 of 5217 sections

ourcouple.app — a real Hero section
ourcouple.app · Hero
joinoasis.com — a real Hero section
joinoasis.com · Hero
nebusec.ai — a real Hero section
nebusec.ai · Hero
monitask.com — a real FAQ section
monitask.com · FAQ
mockchats.com — a real Hero section
mockchats.com · Hero
mifoto.ai — a real Hero section
mifoto.ai · Hero
meigen.cc — a real Hero section
meigen.cc · Hero
lustly.pics — a real Hero section
lustly.pics · Hero
kinetixseo.com — a real Hero section
kinetixseo.com · Hero
loomal.ai — a real Hero section
loomal.ai · Hero
interviewscreener.com — a real Hero section
interviewscreener.com · Hero
jetti.com — a real Hero section
jetti.com · Hero
kibbi.ai — a real Hero section
kibbi.ai · Hero
indexmyurl.com — a real Hero section
indexmyurl.com · Hero
hyperstone.ai — a real Hero section
hyperstone.ai · Hero
gettinylawn.com — a real Hero section
gettinylawn.com · Hero
ieltswritingchecker.org — a real Hero section
ieltswritingchecker.org · Hero
drive.keynou.com — a real Hero section
drive.keynou.com · Hero
geysera.com — a real Hero section
geysera.com · Hero
contentpen.ai — a real Hero section
contentpen.ai · Hero
freeaihumanizer.online — a real Hero section
freeaihumanizer.online · Hero
editforge.polsia.app — a real Hero section
editforge.polsia.app · Hero
cleardemand.io — a real Hero section
cleardemand.io · Hero
droppayxrp.com — a real Hero section
droppayxrp.com · Hero
1968 funnels x-rayed2964 pages measured10 section types

X-ray your own funnel · free, no signup required

Method: every crawled page is segmented into full-width bands and each band classified into a section archetype by deterministic DOM signals: no LLM, no opinion. Prevalence counts each archetype once per page, across pages crawled all the way to the footer (partial crawls are held back, not guessed). "Typically sits" = the average of the section's position within the page body (0 = top, 1 = bottom). Scoped to the pages we've crawled, not "the web"; auto-updating as the corpus grows.