Autoclip Chapter Cutter for Technical Video Courses

Problem: Solo course creators and developer educators record long technical sessions (hours of screen capture plus talking-head footage) and then spend tedious hours manually scrubbing timelines to split content into chapters, name each segment, and export upload-ready clips. This editing tax directly limits how much content they can ship. Named product: Autoclip Chapter Cutter. Solution: an automated pipeline that detects slide transitions (visual diffing on screen-recorded frames) and speaker cues (pauses, topic markers, filler phrases like 'next' or 'moving on') to propose chapter boundaries, auto-label them, and export individually trimmed clips plus a chapter marker file for YouTube and course platforms. MVP: a web upload tool that ingests a recording, runs slide-change and silence detection, returns an editable chapter list with timestamps and suggested titles, and batch-exports clips and a chapter timestamp file. Revenue: subscription tiers by minutes processed per month, with a creator tier for individuals and a higher tier for educators publishing frequently. GTM: distribute where developer educators already gather (course creator communities, YouTube tutorial creators, dev newsletters) with a free single-video trial that outputs a watermarked chapter file. Growth loops: exported chapter files and clip descriptions carry a subtle 'chaptered with Autoclip' credit, and each published course drives discovery; satisfied creators refer peers since the tool saves hours per upload.