Most social media reporting workflows start the same way: Someone opens a few competitor profiles, checks recent posts, copies links into a spreadsheet, guesses which Reels performed best, and turns everything into a weekly report. That works once. It becomes painful when you want to do it every week. So I built a small open-source Python starter that turns public Instagram-style data into repeatable competitor intelligence reports. The project is here: https://github.com/prodkit-labs/instagram-competitor-intelligence It is intentionally not an Instagram bot, not a login automation tool, and not an API wrapper. It is a reporting workflow. The goal is simple: Take public profile and media data, rank what performed well, extract useful patterns, and generate a weekly competitor report.…