Adapt
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.
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Customers
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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.
Gene Inspector Pro
Gene Inspector Pro uses Context.dev to connect its literature discovery pipeline and Diana, its AI agent, with publicly available genetics information and open-access studies. Users can research genes related to health questions and read the supporting sources, while their genomic data stays inside Gene Inspector Pro.
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Knowlify
Knowlify replaced Brandfetch with Context.dev in under five minutes, giving its video platform more accurate client brand assets and happier customers.
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Spikonado
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.
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Layers
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.
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Amorphic Labs
Amorphic Labs turns prospect names into branded, personalized demo videos by automatically enriching each prospect with a company logo from Context.dev.
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Soria
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.
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Takkie AI
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.
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Hoplite
Ryan Morrissey, cofounder and CEO of Hoplite, wired Context.dev into Hoplite's onboarding end to end in 15 minutes. New users now land in a product that already recognizes their company, and they keep asking how it's done.
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Brew
Thomas Park, CTO and cofounder of Brew, spent months building and optimizing a brand extraction flow stitched together from multiple vendors. He consolidated the whole thing on Context.dev in a single day.
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Murph
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.
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Stan
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.
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