A content engine running on dynamic pages
Speechify began as a reading aid for people with dyslexia, built by founder and CEO Cliff Weitzman. That original mission has expanded into an AI work platform used by 60 million people to listen to documents, delegate tasks to agents, and get work done through voice. The company’s growth engineering lead, Denis Chernobai, joined after an early security breach redirected all visitors to a casino site for half a day—an incident that triggered a full infrastructure rebuild.
That rebuild on Next.js and Vercel paid off. Speechify now serves 40 times more pages, reaches three times the global audience, and has cut costs by 50%. Since the migration, the company has held 99.99% uptime with no security incidents. The site itself is the primary growth engine: 10,000 base pages translated into 40+ languages, covering onboarding funnels, localized landing pages, and pricing experiments that change constantly.
Dynamic rendering without runaway database costs
Static generation won't work for Speechify because content changes too frequently. But fully dynamic serving means every visitor triggers a potential database read, which compounds quickly at hundreds of thousands of daily visits. Vercel's Data Cache, ISR, and Next.js Cache Components handle both constraints. Pages render dynamically on first visit, get cached immediately, and are served from the nearest point of presence until content changes. The infrastructure cost stays flat even as traffic scales globally.
Shipping fast without dreading deploys
The growth team deploys new funnels and A/B experiments every few days to millions of users who expect everything to work. A bad release at that scale is not a developer bug—it's a revenue problem that surfaces before anyone can react. Vercel's Instant Rollbacks let Speechify revert a bad deploy with zero user impact, which changes the calculus of shipping. Before Vercel, a bad release meant scrambling to patch before it became an incident. Now the team deploys with confidence, a shift that lets a small growth team operate at a speed normally reserved for much larger engineering organizations.
Keeping pace with AI market velocity
"We see new voice functionality and agents emerging that didn't exist just last month," said Rohan Pavuluri, Speechify's Chief Business Officer. In an AI market where capabilities evolve every few weeks, any delay in shipping an idea is a week a competitor might beat them to it. With Next.js on Vercel, Speechify's only hurdle between idea and reality is the code itself. The company ships with continuous deployments and no dedicated platform engineering team. Security patches apply automatically, infrastructure scales with Fluid compute, and there is no deployment pipeline to maintain. This setup lets a focused engineering team compete with companies ten times its size.
Next steps: international growth and a developer platform
Speechify is expanding into new international markets while shipping new AI features. The company recently launched SpeechifyAI, a developer platform that exposes the same voice technology behind its consumer product via API. Its flagship Simba 3.2 model holds the number one position on the Artificial Analysis text-to-speech leaderboard as of July 2026. As the user base grows, Vercel scales alongside—from cached dynamic pages to continuous deployments on a platform that keeps infrastructure overhead minimal.
