Executive Summary

Streaming fragmentation and the constant churn of plot information across social media create pervasive spoiler risk and discovery pain for viewers; an estimated 1.5 billion global streaming users—from casual watchers and superfans to parents trying to protect children’s first-time viewing—run into this problem regularly. This friction reduces enjoyment and discovery efficiency in what is roughly a $150 billion addressable market (1.5B users × ~$100 average annual spend), so even marginal improvements in retention or conversion are economically meaningful. You could build a context-aware content filter and cross-service “where to watch” aggregator implemented as a companion app, browser extension, and embeddable SDK that uses multimodal AI to detect spoilers in text, images, audio and video and either mask, delay, or collapse them in social feeds while surfacing deep links to available streaming providers. Key features would include customizable sensitivity profiles, real-time second-screen sync for live viewing, and a privacy-first architecture that does on-device processing with optional enterprise APIs for platforms and publishers. The timing is favorable: streaming fragmentation is accelerating demand for cross-platform discovery, second-screen companion usage is common, and multimodal AI advances in the past 2–3 years make reliable spoiler detection technically feasible at scale. With 1.5B potential users and a $150B ecosystem, even modest consumer uptake (1–5%) or a few platform licensing deals could justify initial investment, but the business hinges on demonstrated accuracy and meaningful integrations. To stand out, focus on high-precision multimodal models (targeting >90% practical accuracy), developer-friendly SDKs for rapid platform integration, and a dual consumer/B2B go-to-market that includes transparent privacy controls and error metrics to build trust. Real challenges remain—securing cross-service linking rights and APIs, scaling multilingual moderation and model updates, and minimizing false positives—so early partnerships with a few platforms and a strong labeling pipeline will be critical to de-risk execution.

Market Opportunity

Avoid spoilers and find where to watch — context-aware content filters targets a $150.0B = 1.5B global streaming users x $100 avg annual spend on subscriptions & discovery total addressable market with medium saturation and a year-over-year growth rate of 15% annual growth in streaming subscriptions & discovery tooling.

Key trends driving demand: Streaming fragmentation -- more platforms increases need for cross-service discovery; AI text/video understanding -- enables reliable spoiler detection and contextual filters; Second-screen usage -- viewers use companion apps while watching, enabling engagement; Personalization demand -- users expect tailored recommendations and noise reduction.

Key competitors include JustWatch, TV Time (Whip Media Group), Trakt.tv, Browser & app spoiler-blocking extensions and social-filter workarounds (e.g., Spoiler Protection 2.0, Unspoiler, platform keyword mutes).

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Avoid spoilers and find where to watch — context-aware content filters

Executive Summary

Market Validation

Market Opportunity

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