Section Design Library

The bands real pages are built from

6,236 sections captured and categorized, from 2,335 funnels x-rayed.

Section

Showing 24 of 6236 sections

nutrafol.com — a real Hero section
nutrafol.com · Hero
cureva.app — a real Pricing section
cureva.app · Pricing
coverfairy.com — a real FAQ section
coverfairy.com · FAQ
granite.so — a real Email Capture section
granite.so · Email Capture
chatflow.co — a real FAQ section
chatflow.co · FAQ
dashforge-ui.com — a real Hero section
dashforge-ui.com · Hero
pixly.app — a real Logo Wall section
pixly.app · Logo Wall
photovideos.net — a real FAQ section
photovideos.net · FAQ
brokenlinkscan.com — a real Comparison section
brokenlinkscan.com · Comparison
lindy.ai — a real FAQ section
lindy.ai · FAQ
fitsuite.co — a real Comparison section
fitsuite.co · Comparison
warp.dev — a real Logo Wall section
warp.dev · Logo Wall
auditbadger.com — a real Hero section
auditbadger.com · Hero
wisegrid.co — a real Hero section
wisegrid.co · Hero
neatmail.app — a real Features section
neatmail.app · Features
coprep.ai — a real Pricing section
coprep.ai · Pricing
meev.ai — a real FAQ section
meev.ai · FAQ
anakin.io — a real FAQ section
anakin.io · FAQ
promptsloth.com — a real Stats section
promptsloth.com · Stats
kissmyskills.com — a real FAQ section
kissmyskills.com · FAQ
liinks.co — a real Logo Wall section
liinks.co · Logo Wall
amabrik.com — a real Hero section
amabrik.com · Hero
noirprompt.com — a real Logo Wall section
noirprompt.com · Logo Wall
trackrev.io — a real FAQ section
trackrev.io · FAQ
2335 funnels x-rayed3519 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.