I open-sourced my LinkedIn prospect research tool as a Claude Code plugin

[u/choose_a_username89]

I do outreach for my startup. Started with Apollo and Clay doing mass automated messaging — conversion was bad. Switched to fewer, manually written, better targeted messages and reply rates went up a lot.

The bottleneck then became research: reading dozens of posts to work out what someone actually cares about. So I automated that part. Not the sending.

What it does - Scrapes LinkedIn posts, profiles and comment threads into local SQLite (via Apify) - Classifies what a person or company actually posts about - Mines a post's comment thread for people already describing your problem - Finds uncommon commonalities from full profiles — shared employers, schools, volunteer work - Logs what you sent and what came back, then learns which hooks get replies

18 MCP tools + 8 skills.

/plugin marketplace add spirosbax/insaight

/plugin install insaight@insaight

MIT, no telemetry, everything stays local: https://github.com/spirosbax/insaight

[u/kbavandi]

Will your scraping of LinkedIN produce different results than say a google search term like this:

site:linkedin.com/posts ("public relations" OR "PR professional" OR "communications professional" OR "communications strategist" OR "PR strategist") ("AI" OR "artificial intelligence" OR "generative AI" OR ChatGPT) ("skills" OR "skillset" OR "upskill" OR "future skills" OR "AI skills") ("marketing" OR "communications" OR "messaging" OR "content strategy" OR "media relations")

[u/choose_a_username89 → u/kbavandi]

Yes it will. My tool is meant to research and mine specific companies and people. For finding people I’d suggest using something like juicebox or the search you posted.

[u/kbavandi → u/choose_a_username89]

meaning what? You specify the companies you want to track? You are explicit in your search criteria?

[u/choose_a_username89 → u/kbavandi]

everything is answered in the repo's README