Product: Resources

Incorporating a real-time communication feature into your app can differentiate your brand and drive user engagement. However, developing these features takes time and resources, deterring you from focusing on core product features. This is where an SDK or API can come into play, as you can use them to accelerate build times and streamline development

Choppy call audio is usually jitter, not bandwidth. See how a jitter buffer reorders and paces packets, how it picks its size, and how it conceals lost packets.

Frame rate controls one specific property of video, how densely motion gets sampled over time, and most decisions around it get easier once you know which one. This covers what frame rate measures, how it differs from resolution and bitrate, how to pick a rate, and the bugs that come from treating fps as one uniform number.

Echo happens because every device on a call plays and records audio at once, and the delay added by network transit and buffering is what makes the overlap audible instead of unnoticeable. This covers how acoustic echo cancellation works, WebRTC's default AEC3 pipeline, why users still hear echo, and how to fix it.

WebRTC promises a direct connection between two devices, and the internet makes that hard. ICE is the part of the stack that closes the gap, discovering candidate addresses, exchanging them, and testing pairs until it finds one that actually works. This covers how ICE works, STUN vs. TURN, Trickle ICE, and how to debug calls that won't connect.

Live selling platforms help lower barriers to visibility because brands and retailers can share their products without needing prime shelf space to get attention. Customers can ask questions and decide immediately on what to purchase instead of going through static images. This is why the global live commerce market size is projected to reach roughly

Voice activity detection tells a voice agent when someone is actually speaking. Here is how VAD works, why it drives turn-taking and interruptions, and where Silero VAD fits in a real-time pipeline.

You introduce feed ranking without increasing latency by moving scoring to write time, putting a cheap retrieval stage in front of your ranking model, and fetching features in parallel rather than in series.