LinkedIn post scoring for your commenting strategy. What would you track?

After watching your video about commenting, I decided to build a Chrome extension to make it easier to interact with posts. The purpose is to save time by scoring and sorting posts so I can focus only on the ones worth commenting on. I’ve listed the fields I’m currently collecting and would like everyone's feedback on what might be missing.

Here’s what I have:

Peer or ICP – The AI checks whether the post is from someone in my target audience (ICP) or a peer by analyzing the headline and content.
Lead Score – Scores how valuable the person might be as a lead based on their content and profile.
Content Score – Rates how engaging or polarizing the post is to see if it’s worth adding a comment.
Post Type – Identifies what kind of post it is so I can prioritize the most interesting ones.
AI Content Score – Estimates how likely it is that the post was written by AI.
Hot Score – Measures how active the post is in the last 24 hours, considering time since posting and engagement.
Comment Angles – Suggests five ideas for potential comment approaches.

The plan is to use these fields to build a scoring model. When a post passes a certain score, the extension will alert me and give a link so I can comment manually on a schedule. This will create a curated shortlist of posts worth engaging with.

Are there any other fields you think I should track?