BEAVERTON, OR / ACCESS Newswire / January 15, 2026 / The modern entertainment landscape promises abundance but delivers exhaustion. With thousands of movies, shows, books, and podcasts competing for attention, the simple act of choosing what to enjoy next has become a cognitive chore. Users scroll, second-guess, and often give up altogether, retreating to familiar rewatches not out of love but out of fatigue.
That tension sits at the center of decisio, a newly launched, ad-free entertainment discovery platform built to help people decide what they will actually enjoy, without manipulation, clutter, or guesswork. Founded by product and data expert Chris Pearcey, decisio introduces a patent-pending four-way swipe system that learns directly from user intent rather than passive behavior.
“Entertainment discovery has quietly become one of the most frustrating parts of our digital lives,” Pearcey said. “We have more options than ever, but less confidence in the systems telling us what to choose. decisio was built to put that power back where it belongs, with the user.”
Unlike critic-driven rating sites or algorithm-heavy platforms optimized for advertising revenue, decisio removes ads entirely. There are no paid placements, no sponsored rankings, and no incentive to push what sells rather than what fits. Instead, users interact with content through a simple four-direction swipe: up or down to indicate interest, left or right to register liked or disliked experiences. The system captures nuance quickly, without forcing users to rate on artificial scales or write reviews they never intended to publish.
The result is a discovery experience designed to feel immediate and human. Within minutes, users receive personalized top-five recommendations and genre-specific suggestions across multiple categories, starting with film and expanding soon into books, podcasts, tabletop games, and video games. Every swipe refines the system, but the learning remains transparent, driven by expressed preference rather than hidden influence.
Pearcey’s motivation for building decisio was shaped by a mix of professional experience and cultural frustration. A longtime product leader who has worked inside large digital ecosystems, he grew increasingly disillusioned with how recommendation engines prioritize profit over taste. What began as a side project rooted in curiosity took on a distinctly anti-establishment tone, inspired as much by punk-rock ethos as by data science.
“There’s a difference between personalization and manipulation,” Pearcey said. “We wanted to prove you could build something smarter and more ethical by listening directly to people instead of nudging them toward whatever benefits the platform.”
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