# Vercel customers See how teams are building with Vercel. Total customer stories: 12 ## Customer stories ### [Shopify](https://vercel.com/customers/shopify-and-vercel-are-rebuilding-hydrogen-for-faster-storefronts) Shopify and Vercel are rebuilding Hydrogen for faster storefronts Industry: Ecommerce, Software Shopify and Vercel Open source and runtime agnostic, runs anywhere JavaScript does Skills let agents extend any storefront with a single command Feature development cut from months to a week for retailers like Paige Shopify powers commerce for millions of merchants worldwide, and Hydrogen is its framework for building headless storefronts\. The Shopify team is partnering with Vercel to rebuild Hydrogen from the ground up\. The new version is open source and runtime agnostic so developers can build with Next\.js, Nuxt, Svelte, or any framework they choose\. As a result, storefronts that once required custom glue code now ship with best practices built in, from type\-safe API clients to cart state in a single import\. ### [Searchable](https://vercel.com/customers/how-searchable-ships-customer-requested-features-in-30-minutes-on-vercel) How Searchable ships customer\-requested features in 30 minutes on Vercel Industry: AI Searchable on Vercel 5x increase in development velocity 100\+ billion tokens processed Customer\-requested features shipped in as little as 30 minutes Zero model SDK implementation or API key rotation with AI Gateway Searchable helps brands track and improve how they appear across AI search engines like ChatGPT, Perplexity, and Claude, pairing visibility analytics with an agent that guides users on what to do next\. The Searchable team builds on Vercel's AI SDK and AI Gateway to test new models without rotating API keys or SDKs\. As a result, development now moves 2 to 5x faster\. ### [The Weather Company](https://vercel.com/customers/how-the-weather-company-serves-real-time-forecasts-to-350-million-daily-active-users-on-vercel) How the Weather Company serves real\-time forecasts to 350 million daily active users on Vercel Industry: Software The Weather Company on Vercel 350 million monthly active users served worldwide 2\.2 billion coordinates calculated every 15 minutes 80% increase in velocity from design to live web page The Weather Company delivers weather forecasting and content to over 350 million monthly active users worldwide, backed by about 130 meteorologists tracking weather systems across the globe\. By rebuilding its web serving stack and CMS on Vercel and v0, the team turned work that once took years into months and shortened the path from a design to a published website from days to hours\. ### [Code and Theory](https://vercel.com/customers/how-code-and-theory-cut-time-to-prototype-75-with-v0) How Code and Theory cut time\-to\-prototype 75% with v0 Industry: Agency Code and Theory on Vercel Time\-to\-prototype cut by 75% Deployment timelines reduced by over 50% Wireframe and PRD process replaced by live prototypes Code and Theory is a digital\-first creative and technology agency that combines strategy, design, and engineering for brands like Microsoft, Amazon, and NBC\. The agency replaced wireframes and requirement documents with prompt\-to\-code workflows in v0, so product, engineering, and go\-to\-market teams can turn a client brief into a working prototype in real time\. Time\-to\-prototype dropped by 75%\. ### [Fern](https://vercel.com/customers/how-fern-runs-multi-tenant-docs-for-webflow-and-elevenlabs-on-vercel) How Fern runs multi\-tenant docs for Webflow and ElevenLabs on Vercel Industry: Software Fern on Vercel 3x faster time to first byte Page load times reduced by 80% 6 million\+ page views per month from 1 million\+ unique visitors 65% of the platform migrated from Pages Router to App Router in 7 days Fern helps companies ship developer documentation and SDKs, running customer docs for Webflow, ElevenLabs, and others across custom domains from a single Next\.js app on Vercel\. Mid\-migration from the Pages Router to the App Router, the team moved 65% of the platform in seven days instead of taking on a months\-long engineering project\. Today Fern deploys multiple times a day, with deploys down to five minutes and page load times cut by up to 80%\. ### [Notion](https://vercel.com/customers/notion-workers-vercel-sandbox) How Notion Workers run untrusted code at scale with Vercel Sandbox Industry: Business Services, AI Notion Workers let you write and deploy code to give Custom Agents new powers: sync external data, trigger automations, call any API\. With Workers, developers can build agents that sync CRM data on a schedule, open issues when error rates spike, and turn Slack threads into formatted content\. Under the hood, every Worker runs on Vercel Sandbox\. The problem: safely running code from any developer or agent Notion wanted to let anyone extend their platform with custom code\. That's a hard infrastructure problem, but an even bigger security problem\. Every Notion Worker runs arbitrary code generated by a third\-party developer or agent, on behalf of a Notion user, potentially inside an enterprise workspace\. Without proper isolation, a Worker would run in the same environment as the Custom Agent, with access to its secrets, permissions, and everything else in that execution context\. A single prompt injection could exfiltrate credentials or access another user's data\. The requirements were clea ### [Avalara](https://vercel.com/customers/How-avalara-turns-pipedreams-into-patent-pending-with-v0) How Avalara turns pipe dreams into patent\-pending with v0 Industry: Software Avalara connects businesses to more than 1,400 systems to automate tax compliance around the world\. It’s a massively complex ecosystem that spans ERP systems, finance platforms, and compliance tools, all talking to each other\. For Chief Strategy and Product Officer Jayme Fishman, the path forward is modernizing how Avalara builds\. His mandate is to drive digital transformation, with a sharp focus on AI and innovation\. Enter Vercel’s v0, which translates plain language into working prototypes\. Within months, the team built two new patent pending products—and along the way, changed how the company builds\. Seeing is believing Before v0, bringing an idea to life required a mountain of slides, careful specs, and ample interpretation\. Fishman might have a strong vision, but getting started meant writing everything down, then waiting for designers and engineers to bring it to life\.  “It could be a significant delay before we even had a conceptual mock\-up\.” That changed overnight\. One of Aval ### [OpenEvidence](https://vercel.com/customers/how-openevidence-built-a-healthcare-ai-that-physicians-can-trust) How OpenEvidence built a healthcare AI that physicians actually trust Industry: Healthcare Andy Yoon was scrolling through Slack when he saw the message: OpenEvidence had gone viral on TikTok\. Not "gaining traction\.” Actually viral, reaching around two million views in less than a week\.  This is usually when you rally the troops, spin up emergency capacity, and start making phone calls you really didn't want to make\. Andy, Lead Frontend Engineer, did none of those things\. Instead, he watched the numbers climb\. He checked the logs—everything green\. Response times: still fast\. Error rates: still near zero\. Then he went back to whatever he was doing before, because there was nothing to fix\. "Vercel has just completely scaled with that usage," he says\. "We've never had it fall over due to capacity or had to provision anything extra\. Just being able to trust that it's there, to the point where we don't really even think about it, is amazing\." It was proof that they'd solved a problem most healthcare tech companies haven't figured out yet: how to move at startup speed while meetin ### [Ramp](https://vercel.com/customers/how-ramp-kept-100-uptime-through-100x-traffic-surges-on-vercel) How Ramp kept 100% uptime through 100x traffic surges on Vercel Industry: Finance & Insurance Ramp on Vercel Full site migration to Next\.js on Vercel 100% uptime and 0% error rates through 100x surges AI SDK implemented to build semantic search across scattered internal assets Ramp is a financial operations platform that combines bill payments, corporate cards, procurement, and travel to help businesses save time and money\. The team rebuilt its marketing site on Next\.js and Vercel, migrating its highest\-traffic and highest\-conversion pages one at a time and A/B testing each against Core Web Vitals\. The site has held 100% uptime through traffic surges of 100x during stunt\-marketing events, and the team is now using the Vercel AI SDK to build semantic search across disparate internal assets\. ### [Stably](https://vercel.com/customers/how-stably-ships-ai-testing-agents-in-hours-not-weeks) How Stably ships AI testing agents in hours, not weeks Industry: Finance & Insurance How the 6\-person team at Stably ships AI testing agents faster with Vercel—moving from weeks to hours\. Their shift highlights how Vercel's platform eliminates infrastructure anxiety, boosting autonomous testing and enabling quick enterprise growth\. Jinjing Liang, co\-founder and CEO of Stably, was building something technically ambitious: AI agents that run autonomous end\-to\-end tests by deploying on preview URLs, reading code diffs, and validating whether changes actually work\. Testing is the bottleneck for autonomous coding: AI can write code fast, but without validation, teams get stuck checking everything manually\. But Stably had their own bottleneck\. Every new feature meant infrastructure decisions\. Every new agent meant deployment anx ### [Stripe](https://vercel.com/customers/how-stripe-built-a-game-changing-app-in-a-single-flight-with-v0) How Stripe built a game\-changing app in a single flight with v0 Industry: Software What would traditionally require months of product\-development coordination and building across multiple teams was achieved by one person in a single flight\. Inside Stripe’s push to make value tooling faster, smarter, and fully self\-serve for their GTM teams Mario Braz boarded an international flight with a problem\. He deplaned with a working production application\. With a finance background and zero formal engineering training, Mario Braz, Stripe GTM Business Value Consulting, used v0 to prototype a full application during a long\-haul flight\. By the time he landed, the first version was working, fully web\-based, mobile\-friendly, and ready to deploy\. ### [Sensay](https://vercel.com/customers/how-sensay-went-from-zero-to-product-in-six-weeks) How Sensay went from zero to product in six weeks Industry: Software Sensay went from zero to an MVP launch in six weeks by leaning on Vercel previews, feature flags, and instant rollbacks\. The team kept one codebase, moved fast through pivots, and shipped without a DevOps team\. Impact at a glance 6 weeks from zero to MVP launch for Web Summit Zero upfront infrastructure cost to go live No DevOps team required Fast iteration loops using preview deployments and feature flags A startup searching for its market Sensay did not start as an employee off\-boarding platform\. The company's original mission was deeply human: build "replicas" of people that could capture their knowledge, voice, and image so families could preserve memories before cognitive decline set in\. The team