What it does
Three things a job search actually needs
Land on any company page and get firmographics, leadership, reviews, and open roles — synthesized from web search and Claude. Cached indefinitely; refresh on demand. Never fires without a click.
A Kanban where companies and opportunities are one record. Emails attach by domain. Meeting transcripts attach automatically. The pipeline reflects reality, not a snapshot of intentions.
Coop already has your profile, the company data, the job description, your emails with people there, and your meeting transcripts. You ask the question instead of spending 20 minutes rebuilding context.
What it is
One surface where research, pipeline, and context live together.
A typical job search runs on a stack of half-working tools: a Google Sheet pipeline that goes stale within a week, six tabs of LinkedIn and Glassdoor for every new company, a bookmark extension that saves jobs but knows nothing about them, and a ChatGPT window where you re-paste your resume and the company description every conversation just to ask "should I apply to this?"
Coop.ai collapses that stack into one surface. Land on a company page, get the research. Save it, get a pipeline entry. Open the chat, and your AI advisor already has your profile, the company data, the job description, your emails with people there, and your meeting transcripts loaded. You stop being the integration layer between four tools and a model.
I built Coop during my own job search, over about five weeks of late nights. Started because I was sick of re-pasting my context into ChatGPT for the fourth time that week. Ended with a full Chrome extension that now runs my entire search. Coop is in private beta — used every day in my own work, which is what keeps it sharp.
Read the full origin story →