Amplifying Developer Voices: Introducing CannerAI – An Open-Source AI Assistant for LinkedIn & Twitter

Rejected

Session Description

We built CannerAI to solve a problem every developer and creator faces like managing online engagement without losing focus on building. CannerAI is an open source AI assistant that helps you write, reply, and engage on LinkedIn and Twitter faster, all while staying authentic to your voice.

At the heart of this project is our belief that productivity tools should be transparent, community-driven, and free from closed ecosystems. That’s why CannerAI is fully open source and you can inspect the code, extend its features, and integrate your own AI models and templates without restriction.

I will walk through how CannerAI works under the hood. From a browser extension built with TypeScript to a Python backend powered by Flask, we’ll explore how these components connect to deliver real-time AI suggestions directly inside your social media feed.

During this session, we’ll take you behind the scenes to show how CannerAI works under the hood. From a browser extension built with TypeScript to a Python backend powered by Flask, we’ll explore how these components connect to deliver real-time AI suggestions directly inside your social media feed.

By the end of the session, we want you to walk away inspired to build and contribute. Because when AI meets open source, the possibilities for collaboration, creativity, and community impact are endless.

Key Takeaways

How to architect a browser-extension + backend AI system for social-media productivity.
The power of open-source in the AI assistant domain: transparency, extensibility and community governance.
How to deploy your own instance of CannerAI, customise templates, integrate alternative AI models.
Technical challenges in building social-media assistants (e.g., UI integration, model latency, template management, rate limits).
How open-source AI tools can empower developers, reduce repetitive tasks and enable meaningful engagement.
How you as an attendee or developer can contribute (code, templates, documentation, platform extensions) and shape the tool’s roadmap.