There’s a particular kind of dread that horror movie fans know well. Not the dread of the monster itself, but the dread of not knowing when the movie is going to lunge at you. For some viewers — people with anxiety disorders, PTSD, sensory processing conditions, or simply a low tolerance for being startled — that anticipation isn’t fun. It’s a barrier. A new app called Binge wants to tear that barrier down, and in doing so, it’s staking a claim on a surprisingly underserved corner of the entertainment technology market.
Binge, which launched recently on iOS, is a movie and TV tracking app with a distinctive hook: it listens to what you’re watching and delivers real-time warnings before jump scares, intense gore, flashing lights, and other potentially distressing content appear on screen. The app uses audio fingerprinting — the same underlying technology that powers services like Shazam — to identify exactly where you are in a film, then pushes alerts to your phone or Apple Watch seconds before a triggering moment hits. As TechCrunch reported, the app was created by Elias Rubin, a developer who previously built an app called Otavio that helped users track their streaming watchlists.
The concept sounds simple. Almost trivially so. But the execution reveals a product thinking through accessibility and user experience with genuine care.
Here’s how it works in practice: a user opens Binge, selects the movie or show they’re about to watch, and taps a “listen” button. The app activates the device’s microphone, matching the audio output against a database of timestamped content warnings that have been catalogued for each title. When the viewer approaches a flagged moment — say, a sudden loud scare in The Conjuring or a seizure-risk strobe sequence in a thriller — the app vibrates the phone or sends a haptic tap to the Apple Watch. No spoilers. Just a heads-up.
According to TechCrunch, Binge currently supports warnings across several categories: jump scares, gore, sexual violence, flashing lights, animal harm, and more. Users can customize which categories trigger alerts, meaning a horror enthusiast who doesn’t mind blood but hates being startled can filter accordingly. That granularity matters. It transforms the app from a blunt instrument into something genuinely personalized.
Rubin built the initial content database himself, manually watching and timestamping films. That’s not scalable, obviously. The plan, per his comments to TechCrunch, is to open this process to a community of contributors — essentially crowdsourcing the warning timestamps much the way sites like DoesTheDogDie.com have crowdsourced content advisories for years. The difference is timing. DoesTheDogDie tells you that something happens. Binge tells you when.
That distinction is everything.
The market Binge is entering isn’t empty, but it is fragmented and largely informal. Parents have long relied on Common Sense Media for content ratings. Horror fans have used sites like Where’s The Jump to look up scare timestamps before pressing play. The subreddit r/horror regularly fields requests from viewers asking which films are “safe” for people with specific triggers. What none of these solutions offer is real-time, in-the-moment intervention that doesn’t require you to memorize a list of timestamps or keep a browser tab open while you watch.
And the accessibility angle here deserves serious attention. Photosensitive epilepsy affects roughly 1 in 4,000 people, according to the Epilepsy Foundation, and flashing light sequences in films and television have triggered seizures in viewers for decades — most infamously in the 1997 Pokémon incident in Japan that sent hundreds of children to hospitals. Streaming platforms have been slow to implement reliable photosensitivity warnings. Netflix added a general epilepsy warning tag to some content, but it’s inconsistent and offers no scene-level specificity. Binge’s approach — alerting a viewer ten seconds before a strobe sequence so they can look away or close their eyes — is a fundamentally more useful intervention.
For viewers with PTSD, the calculus is similar. The Department of Veterans Affairs estimates that about 6% of the U.S. population will experience PTSD at some point in their lives. Unexpected depictions of violence, sexual assault, or combat can provoke acute stress responses. Existing content rating systems — the MPAA’s letter grades, TV parental guidelines — were designed for parents making choices about children’s viewing, not for adults managing trauma responses. They tell you a film is rated R for “violence and brief nudity.” They don’t tell you that at the 47-minute mark, there’s an extended scene of realistic domestic abuse.
Binge does.
The business model, at least in its current form, appears to be freemium. The basic tracking features — logging what you’ve watched, rating films, building a watchlist — are free. The real-time warning system is positioned as a premium feature. Rubin hasn’t publicly disclosed pricing details, but the structure follows the familiar pattern of apps like Letterboxd, which offer social film-tracking features for free while charging for enhanced functionality. Letterboxd, notably, has grown into a significant cultural force since its founding in 2011, reaching over 13 million members. It proved that people want more from their movie-watching experience than just pressing play — they want to catalog, discuss, and share. Binge is betting they also want to feel safe.
The technical challenge shouldn’t be understated. Audio fingerprinting at this level of precision requires matching not just the correct film but the exact playback position within it, accounting for differences in streaming platform encoding, playback speed, audio normalization, and ambient room noise. Shazam’s technology, developed over two decades, can identify a song from a few seconds of audio. Identifying a specific moment within a two-hour film, accurately enough to provide a warning with a useful lead time, is a harder problem. Rubin told TechCrunch that the system works reliably across major streaming platforms including Netflix, Amazon Prime Video, and Apple TV+, though edge cases — like watching a film with commentary tracks enabled or significant audio modifications — could presumably affect accuracy.
Privacy is the obvious question. An app that listens through your microphone while you watch TV will raise eyebrows, and it should. Rubin has stated that audio processing happens on-device and that the app doesn’t record, store, or transmit the actual audio content. The microphone input is converted into an audio fingerprint — a mathematical representation of the sound’s characteristics — which is then compared against the database. If that’s accurate, it mirrors the privacy approach Shazam has long used. But “trust us, we don’t listen” is a harder sell in 2026 than it was a decade ago, and Binge will likely need to submit to independent security audits or open-source its fingerprinting module to earn the trust of privacy-conscious users.
So where does this go?
The obvious expansion is into live content. Sporting events with pyrotechnics. News broadcasts covering graphic violence. Live-streamed concerts with strobe effects. Each of these presents unique technical challenges — you can’t pre-timestamp live content — but real-time audio analysis combined with machine learning models trained to detect sudden volume spikes, specific sound patterns associated with explosions or screams, or audio frequencies correlated with flashing lights could theoretically provide warnings even for unscripted content. That’s speculative. But it’s the logical trajectory.
There’s also a play here for theaters. Imagine a mode where Binge listens to the theatrical audio mix and provides haptic warnings through a smartwatch during a first-run screening. For moviegoers who want the communal experience of a theater but fear being caught off guard, this could be the difference between buying a ticket and staying home. AMC and Regal have experimented with sensory-friendly screenings — reduced volume, lights kept partially on — but those are limited engagements, typically aimed at children with autism. A personal, wearable warning system would serve a much broader audience without requiring any modification to the theatrical presentation itself.
The broader context here is a growing recognition within the entertainment industry that content warnings aren’t just about sensitivity — they’re about access. When a viewer with epilepsy avoids an entire genre because they can’t predict which films contain dangerous sequences, that’s a market failure. When a trauma survivor stops going to movies because one bad experience made them feel unsafe, that’s lost revenue and lost cultural participation. The Americans with Disabilities Act requires physical accessibility in theaters — ramps, assistive listening devices, closed captioning. Digital accessibility for neurological and psychological conditions has lagged far behind.
Binge isn’t going to solve that alone. One indie app with a manually built database isn’t a systemic fix. But it demonstrates demand. And in technology markets, demonstrated demand has a way of attracting attention, investment, and eventually, platform-level adoption. If Binge gains meaningful traction, don’t be surprised to see Netflix, Apple, or Disney+ integrate similar warning systems natively. The data infrastructure required — timestamped content annotations — is exactly the kind of metadata these platforms already maintain for features like “skip intro” and scene-specific thumbnails. Adding a “warn me before jump scares” toggle would be technically trivial for a company with Netflix’s resources. The question has always been whether anyone cared enough to build it.
Someone finally did.
Binge is available now on the App Store, with an Android version reportedly in development. Its initial library covers several hundred titles, weighted toward horror and thriller genres — the categories where warnings are most urgently needed. Rubin has indicated plans to expand into drama, war films, and other genres where triggering content appears in less predictable contexts. The community contribution system, once launched, should accelerate that expansion significantly.
For an industry that spends billions on immersive sound design, HDR visuals, and spatial audio — all in service of making content more intense — it’s worth asking whether the tools for managing that intensity have kept pace. They haven’t. Binge is a small app with a specific thesis: that giving viewers more control over their experience doesn’t diminish the art. It just lets more people experience it. That’s not a niche proposition. That’s a market waiting to be served.