LiveCoach helps Twitch streamers turn audience activity into meaningful engagement opportunities.
Monitor chat activity, unique chatters, viewer counts, and engagement suggestions from one dashboard.
Review AI-generated poll suggestions backed by recent channel activity and decide which ones to approve or reject.
Manage polls created from approved suggestions and track audience votes in real time.
Manage your Twitch connection, review granted permissions, and understand how LiveCoach handles your data and privacy.

Inspiration

Small Twitch streamers often struggle to understand what makes viewers participate and, more importantly, what encourages them to return. Although streamers can see basic analytics, turning that information into meaningful engagement actions can be challenging.We wanted to build a tool that helps streamers make better engagement decisions using AI-powered suggestions.

What it does

LiveCoach is an AI-powered engagement assistant for Twitch streamers. It connects to a streamer's Twitch account and provides a dashboard for monitoring available audience engagement metrics. Its key features include:

Twitch account authentication.

Stream listening controls.

Audience engagement metrics.

AI-generated engagement suggestions.

Suggestion management, allowing streamers to review and reject proposed actions.

A polls section for managing poll activity.

For example, when chat activity is low, LiveCoach can suggest a quick poll to encourage audience participation.

How we built it

We built LiveCoach as a web application connected to Twitch. The project combines a frontend dashboard, backend services, Twitch integration, and AI-powered suggestion generation.

We used OpenAI Codex during development to assist with implementation, debugging, and improving the application.

Challenges we ran into

One of our main challenges was connecting the application with Twitch authentication and stream activity. We also worked on making the dashboard interactions and suggestion management work reliably.

Accomplishments that we're proud of

We learned more about Twitch integration, full-stack development, AI-assisted coding, and testing an interactive application. We also learned the importance of keeping streamers in control of the actions suggested by AI.

What we learned

We learned more about Twitch integration, full-stack development, AI-assisted coding, and testing an interactive application. We also learned the importance of keeping streamers in control of the actions suggested by AI.

What's next for LiveCoach

Our next goal is to test LiveCoach with real active streams, improve engagement recommendations, and make the experience more reliable for small streamers.