Automated faceless YouTube Shorts pipeline — topic in, viral shorts out

Individual creators and roughly 100 million SMBs and micro-creators struggle to produce the volume of short-form vertical video required to grow on YouTube Shorts and other platforms. Editing, hook-testing, captions, thumbnail design and platform optimization are time-consuming, require specialist skillsets, and often cost more than the incremental revenue from a single viral short. You could build an automated, faceless Shorts pipeline that takes a topic or RSS/URL input and outputs platform-formatted, A/B-ready shorts using LLM-driven script generation, contextualized TTS, synthetic visuals or B-roll assembly, auto-captions, thumbnails, upload scheduling and performance tracking. Offer tiered subscriptions targeting the long tail with a $60 ARPU/year core plan, higher-volume API or managed services, and a revenue-share premium for creators—addressing a $6.0B addressable market and matching a market score of 90/100 and revenue potential of 84/100. The market is attractive now because platforms prioritize short-form vertical video, AI tooling cuts production time from days to minutes, and creator commercialization means many are willing to pay for reproducible, scalable output. You can stand out by optimizing for measurable uplift (CTR and view velocity) with proprietary hook templates, closed-loop A/B experiments and creator control workflows, plus built-in safety and rights management to reduce takedowns. Key challenges are platform policy shifts, synthetic-media detection and ethical/rights complexity, which will require upfront investment in compliance, high-quality training data and a focused go-to-market with pilot customers before scaling in a medium-competition field.