Technology
Yett
Last fetched
Yett is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under cookie compliance, with a published adopter count of 535 hostnames.
Profile
- Category
- cookie compliance
- Broader grouping
- intelligence and analytics
- Published adopter count
- 535
- Vendor
- github.com
Yett is a small client-side JavaScript library designed to control the execution of third-party scripts, such as analytics trackers, on webpages. It provides a mechanism to block or defer script loading based on user consent or other conditions, helping websites manage privacy and performance. The library is lightweight and works by intercepting script elements before they execute. Yett is commonly used in B2B data platforms that need to comply with data privacy regulations by conditionally enabling third-party data collection services.
Vendor site: https://github.com/elbywan/yett
Sample adopters
20 hostnames WhisperGraph observed running Yett, a sample of the 535 published adopters.
- lobe.ai
- hagel-shop.at
- allgrainartisan.com.au
- blowesclothing.com.au
- bonitojewelry.com.au
- brunyislandcheese.com.au
- coastlinefashion.com.au
- coco88.com.au
- cocoaspicecakery.com.au
- coffeetabledelights.com.au
- daisyandhen.com.au
- dovetailsocial.com.au
- evergreenclothing.com.au
- getwetoutdoors.com.au
- gramsustainable.com.au
- hippie.com.au
- ignitionformen-theoutlet.com.au
- jurenbeauty.com.au
- keaneceramics.com.au
- kingofknivescairns.com.au
Related pages
Pivot from Yett into its category and the vendor behind it.
Queries
Resolves the slug's technology-name candidate(s) and projects the winner's fields.
MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
winner.description AS description,
winner.category AS category,
winner.parentCategories AS parentCategories,
winner.adopterCount AS adopterCount,
winner.url AS url,
winner.vendorApex AS vendorApex,
candidatesRun yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.