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."

That philosophy has resonated with early adopters across generations. Gen Z users drawn to swipe-based interfaces and nostalgic discovery patterns use decisio to surface retro favorites and hidden gems. Older users value the speed, clarity, and absence of advertising. Across demographics, the appeal is the same: fewer decisions, better outcomes, and the quiet relief of not being sold to.

Beyond individual discovery, decisio is designed as a social tool. Users can share watchlists, follow trusted tastemakers, and collaborate on group decisions, whether choosing a movie for the night, selecting a book club read, or settling the familiar couple's debate over what to watch. Future releases will expand these collaborative features, reinforcing decisio's role as a shared cultural compass rather than a solitary recommendation engine.

The platform officially launched January 1 following a full infrastructure transition that gave the team complete control over performance, iteration, and user experience. Apple ID login has been added, and upcoming releases are already scheduled. Podcast and book discovery will roll out in parallel in early spring, followed by games in early summer. A longer-term vision includes a values-based dating feature, planned once the platform reaches a critical mass of users to ensure high-quality matching from day one.

decisio's business model reflects its values. While the consumer experience remains ad-free, the platform offers anonymized, ethical data insights to creators and partners seeking to understand audience taste without compromising privacy. The goal is not to replace critics or streaming platforms, but to become the trusted layer between people and the content they choose.

As entertainment options continue to multiply, decisio is positioning itself as a corrective, not through louder recommendations, but through quieter confidence. In a culture overwhelmed by choice, the app offers something increasingly rare: a way to decide delightfully.

Availability
decisio is currently available on both Android and iOS, with additional platforms and feature expansions planned throughout 2026.

About decisio
decisio is an ad-free entertainment discovery platform designed to eliminate decision fatigue through intuitive, user-first design. Using a patent-pending four-way swipe system, decisio delivers personalized, unbiased recommendations across entertainment categories while prioritizing trust, privacy, and delight.

Media Contact
Name: Chris Pearcey
Email: [email protected]
Website: decisio.media

SOURCE: decisio



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