Meet the teams building the next generation of intelligent products on Context.dev, turning the entire web into structured, real-time data that powers smarter decisions at scale.
Journeybee, a B2B partner management system, replaced its old web context provider with Context.dev in about 10 minutes. Its AI Co-pilot now fetches relevant branding and recent marketing context for customers building partner resources, certifications, and email campaigns.
Adapt's GTM engineering team uses Context.dev to add logos to a map of 20K+ CRM accounts, monitor roughly 6,000 websites for account signals, and verify companies for its GTM agents.
Aarav Gupta integrated Context.dev's Markdown API into Sprocket in about an hour, giving Spikonado's AI engineering agent current documentation and making it far more reliable.
Jake Casto handed Context.dev's docs to a coding agent and, in under half an hour, replaced Layers' Cloudflare Markdown pipeline and started pulling customer logos into their dashboard.
Adam Ron had already run the same scraping stack on AWS, so he knew what it cost. Soria's healthcare terminal now monitors pages faster through Context.dev.
Cloudflare's own bot blocking kept failing Takkie AI's training runs. Bazzo Kelesh swapped the scraping layer for Context.dev in under 30 minutes.
Will Hay, CEO of Murph, uses Context.dev as the scraping layer behind Murph's iMessage health AI, a database spanning over 2 million foods, 239,000 supplements, and 20,000 product tests, so users can text a photo of a protein bar and get a real answer about what's in it.
Jay Chopra, who runs Ops and Growth Engineering at Stan, used Context.dev to build the Yapper Leaderboard, a fun experiment that ranks 100 indie founders by how much they post on X.
Keats Waller, founder of Flusterduck, uses Context.dev to give AI agents the website context they need to route, describe, and diagnose user confusion issues in seconds.
Executor uses Context.dev to power auth and API information discovery for 3,000+ integrations, giving agents the context they need to connect with company APIs.
Raz uses Context.dev to give Similarweb AI agents the datapoints they need, combining scrape and brand APIs instead of building the web context layer in house.
Dench CRM pairs its AI agents with Context.dev to catch fresh Reddit leads the moment they post, opening up over $3M in pipeline from conversations they used to miss.