Why We Use Rails

Garry Tan recently noted that the world is "sleeping" on the combination of Ruby on Rails and AI-augmented coding. Because Rails is built on "Convention Over Configuration," AI models like Claude can act autonomously within the codebase, resulting in massive productivity gains.

At EverAI, we’ve turned that "unlock" into a reality at massive scale. We aren't just building an app; we are running a global infrastructure that handles:

• 28,000,000 Monthly Active Users.
• 10,000,000,000+ HTTP requests every 30 days.
• 1 Petabyte of monthly data traffic

The raw numbers

10–12 billion HTTP requests in a typical 30-day window. Peaks push well north of 400M/day. 80M+ visits, 41M+ uniques, and we're serving a full petabyte of data (mostly images/videos — they're heavy).

Last 30 days - Requests

Keeping the queues happy

Everything non-trivial is async: image, messages, notifications, ML inference queues, analytics events etc.. All flowing through Sidekiq.

We process billions of jobs with basically zero backlog. On Rails.

Sidekiq Jobs