About HypeVoro
HypeVoro is a free browser maths and distraction game with supporting guides about attention and digital distraction.
HypeVoro is a free 30-second browser game. Each round asks you to solve simple two-operation maths questions while fictional internet-style distractions — notifications, messages, trends and pop-ups — compete for your taps. There is no sign-up, no download and no account: you play instantly and your progress stays in your own browser.
A round lasts 30 seconds of active play. An untimed practice teaches the maths and the dismiss gesture first; a manual Pause button freezes the timer when you need to step away. At the end you get a score from 0 to 100 plus accuracy, response time, mistakes and per-stage summaries. Full rules live on our how the challenge works page.
HypeVoro exists to make a small, honest game about focus under digital pressure — and to explain, in plain language, what its numbers can and cannot tell you. It does not train attention, improve cognition, or measure everyday ability.
Every distraction in the game is invented. Tapping one counts as a game mistake; dismissing it or letting it expire counts as resisting it. Real advertisements on the site are separate from the fictional feed and are never scored.
Game scores describe that single session. They are not a diagnosis and not a validated measure of attention, ADHD, intelligence or any medical or psychological condition.
HypeVoro is published under the HypeVoro Editorial byline, which is an editorial identity, not a clinical qualification. Supporting guides explain attention, distractions and the limits of online tests, with research sources beside the claims they support.
Questions, feedback or corrections: email moneykirve@gmail.com or visit our contact page. Members of the press can use our press resources page for facts, assets and methodology links. Read our editorial policy to understand how we choose topics and handle updates and corrections, and see the Focus Index methodology for how opt-in anonymous round statistics would be aggregated.
