Speechify serves 500,000 dynamic pages across 40-plus languages to 60 million users, cut infrastructure costs 50 percent using Vercel Fluid compute, and has recorded zero security incidents since migrating from its previous stack, which was compromised so badly that visitors were redirected to a casino site for half a day. Head of Growth Engineering Denis Chernobai rebuilt the entire stack on Next.js and Vercel from scratch. The result: 40 times more pages served, a global audience three times larger, and 99.99 percent uptime maintained.
The core engineering problem is worth reading in detail: 10,000 base pages translated into 40-plus languages, with pricing experiments and onboarding funnels changing constantly, means static generation is not viable but fully dynamic serving compounds into enormous database read costs at hundreds of thousands of daily visits. Vercel's Data Cache, ISR, and Next.js Cache Components solve this by rendering dynamically on first visit, caching immediately, and serving from the nearest point of presence until content changes. The growth team ships new funnels and A/B tests every few days with Instant Rollbacks absorbing bad deploys before they become revenue events.
Speechify's developer platform, SpeechifyAI, launched with its Simba 3.2 model ranking first on the Artificial Analysis text-to-speech leaderboard as of July 2026. The company is expanding into new international markets with no dedicated platform engineering function. The full case study details how a small growth team competes at a scale that would typically require an infrastructure organization an order of magnitude larger.
[READ ORIGINAL →]