About This App
  • Category

    Action

  • Installs

    50,000,000+

  • Content Rating

    Rated for 12+

  • Developer Email

    [email protected]

  • Privacy Policy

    http://www.tinybuild.com/privacy-policy

Screenshots
Game Overview

Hello Neighbor is a stealth horror game where you sneak into your neighbor's house to uncover the secrets he's hiding in his basement. From the moment I started playing, I was immediately drawn into the tense atmosphere—every creaking floorboard and distant sound had me on edge. The neighbor's advanced AI is genuinely impressive; he learns from my actions, setting up traps and changing his patrol routes, which makes each attempt feel fresh and unpredictable. I love how the game forces me to think creatively, using objects in the environment to create distractions or access new areas, turning a simple break-in into a complex puzzle.

The controls are intuitive, making it easy to pick up and run, hide, and interact with objects, which is crucial when you're being chased. The cartoonish, slightly unsettling graphics perfectly complement the game's tone, creating a world that feels both playful and deeply creepy. What keeps me engaged is the sheer unpredictability; no two playthroughs are the same because the neighbor adapts, ensuring the suspense never lets up. The thrill of successfully outsmarting him, even for a moment, is incredibly rewarding.

While the story is revealed slowly through environmental clues and surreal dream sequences, it's the core gameplay loop of observation, planning, and execution that truly shines. The game masterfully blends fear with curiosity, pushing me to take one more risk, to peek around one more corner. It's a uniquely stressful and addictive experience that perfectly captures the feeling of being somewhere you absolutely shouldn't be.

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Compared to other stealth games I've played, like Amnesia or Outlast, Hello Neighbor stands out by making the antagonist an active, learning participant rather than a scripted threat. In those games, monsters follow set patterns, but here, the neighbor feels like a real opponent. He doesn't just patrol; he anticipates. If I keep using the front door, he'll board it up. If I hide under tables, he'll start checking there. This dynamic AI creates a cat-and-mouse game that is far more cerebral and reactive than traditional horror stealth.

Where similar "home invasion" puzzle games can feel static, Hello Neighbor's constantly evolving house is its greatest strength. The environment itself is a puzzle that changes, forcing me to adapt my strategies on the fly. This focus on a single, intelligent adversary and a transforming playground makes for a more personalized and tense experience than games with broader, but shallower, scares. It's less about running from a monster and more about outthinking a very clever, very suspicious homeowner.

Player Reviews and Ratings

BasementExplorer: The AI is insane! I threw a toy to distract him, and the next day he had a camera pointed at that spot. It feels like he's actually learning. So much tension just trying to get a single apple!

WindowSneak: Love the puzzle design. Figuring out how to stack boxes to reach a second-floor window while listening for his footsteps is pure adrenaline. The cartoon style makes the scary moments even weirder.

CuriousCat: Got caught so many times, but it's weirdly fun. Each failure teaches you something new about his patterns. Finally getting past him and finding a new room is the best feeling.

Game FAQs & Tips

Q1: How does the neighbor's AI work?

A1: The neighbor uses adaptive AI that learns from your actions. If you repeatedly use the same entry point or hiding spot, he will set traps or alter his patrols to counter you.

Q2: Is there a way to save my progress?

A2: Yes, the game uses an autosave system. Your progress is saved after significant actions, like solving a puzzle or finding a key item, so you don't have to restart completely.

Q3: What happens if I get caught?

A3: When caught, you are thrown out of the house and reset to the starting point. However, the neighbor retains his learned behaviors, so the next attempt will be different.

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