AudiencePulse Lab

AudiencePulse Lab is a web app (with optional mobile companion) that helps creators stop guessing what to post next by converting messy audience feedback into a simple weekly “content plan.” It connects to YouTube, TikTok, Instagram, and Discord to pull comments, DMs (where available), community posts, and poll results, then clusters them into recurring questions, objections, and topic requests. The app outputs: (1) a ranked list of content opportunities with evidence (example comments, frequency, sentiment), (2) suggested hooks and titles tailored to the creator’s past winners, and (3) a lightweight experiment tracker that compares predicted vs. actual performance. This is an AI + traditional app: AI for clustering/summarization and pattern detection; traditional logic for data ingestion, permissions, and analytics. Brutal reality: creators already have analytics dashboards, and many “AI idea generators” are fluff. This only works if it saves real time and ties directly to measurable outcomes (views, retention, saves) while staying accurate and transparent. The MVP should focus on one or two platforms first (YouTube + TikTok) and nail trust: show receipts, let users correct clusters, and learn from edits.