sunnyb23

That is definitely an option, perhaps not for mvp. Estimated time to learn vary's all depends on the amount of volume coming, the mix of platforms and category, but precedents exist. I estimated about a month from stress testing. Based on this exchange (thank you btw) i might just get this out and see how it goes.

Yes exactly if LinkedIn allows me to work with its API like this (its restrictive). This would work with YT, Instragram and X out the box. The key thing is this is AI with human oversight and it learns, gets smarter, the data overtime can turn into sales opp. The agent also adapts based on beacon profiles and optimises when to send comments so it doesnt feel robotic and maximises engagement rate.

I'm a former LI employee so I know some people there in product that may give me a chance but you got it one.

Currently working on a project that essentially manages comments on social media channels similar to the current products out there (Sprinklr, Buffer etc) but with a additional layer.

I use AI coupled with Semantic Caching (cost control), NLP and content moderations that would speed up community management for users. It has a manual mode, semi agentic mode and fully agentic. It not only generates responses it contextualises it and understands from your comments who the key contributors are and how you're being perceived.

It can help you identify your promoters (potential customers) and also guide you content that works. It's essentially an evolution from the current community management tools and AI tools which currently focus on content generation. It speeds up community management massively with the advanced filtiration and ML in the backend.

What do you guys think?