What problem does it solve?
Cold email campaigns need proof that the sender actually read a prospect's content, but manually checking LinkedIn posts for every contact does not scale, and naive automation risks referencing inappropriate posts or rendering empty personalization tokens.
Core Features & Use Cases
- Recent Post Extraction: Scrapes the most recent usable LinkedIn post from a company page or personal profile via an async batched 3-call pattern, outputting social_post_text, social_post_url, social_post_days_ago, and social_post_author_type.
- Mandatory Content Filter: A fail-closed skip filter rejects personal, political, bereavement, and charged posts, advancing to the next post rather than abstaining.
- Optional Personalization Line: Generates a one-line AI personalization snippet only when the operator requests it, with list-split guidance instead of spintax gating.
- Use Case: A cold email operator dedupes a 1,000-contact list to 620 unique profiles, scrapes recent posts in batches, and uploads a segment split on non-empty social_post_line for an honest A/B test.
Quick Start
Ask the assistant to fetch the most recent usable LinkedIn post for each profile URL in your lead list and output the post text, URL, and days ago.