Resources: FAQs

We’ve all been there. Our incredibly witty, insightful post being shared worldwide by millions, or our painstakingly created meme being fought over by competing celebrity accounts. What, wait, you haven't found online celebrity success? OK, so you might not have caused the “fail whale” on X back in the day, but we’ve all seen it

“This is a very tough problem.” That’s from the top answer on Stack Overflow for this question. Granted, the answer is over 15 years old, but the sentiment is still true. This is a very tough problem. The problem stems from the fact that audio and video travel through completely separate pipelines in a real-time

Apps need chat. It used to be that just chat apps needed chat, but chat is now commoditized, a table-stakes feature that lets customers get help, ask questions, and work together without leaving your app. The question isn’t whether to add chat, but how. This build-vs-buy decision sits on a spectrum: On one end, a

H.265 has promised 50% smaller files at the same quality since 2013. In practice, the savings depend heavily on resolution, and the codec's messy patent licensing has slowed adoption enough that a royalty-free alternative (AV1) is already eating into its market share. Here's how the two codecs actually compare, and when each one makes sense.

Most developers think of chat, video, and feeds as simply baseline user expectations. But implemented well, these tools become revenue drivers for the business. The math is straightforward. Engaged users spend more time in your app, and time spent correlates directly with monetizable actions. It could be placing bets, completing purchases, paying for premium features,

The bright, natural lighting. The flat palm behind a lipstick. The countdown timer flashing to cause FOMO. The chat scrolling so fast it looks like the Matrix made of heart emojis. You know when you are in a live shopping event. Sometimes, the infrastructure knows as well. If implemented incorrectly, live shopping can (belt) buckle

Activity feeds power some of the most heavily used features on the web: X's home timeline, Facebook's news feed, LinkedIn's updates, and the notifications panel in nearly every social app. They look simple on the surface, but feeds that work fine with 10,000 users often collapse under the weight of 10 million. The core challenge

Vision AI integration is an engineering problem more than a model-selection problem. Yes, you need a great vision model, but the infrastructure you build will be the difference between a fragile prototype and a production system. If you're adding vision AI to a live or near-real-time video application, you'll quickly run into questions that model